Low Data Rate Research Articles

A robust authentication scheme for remote diagnosis and maintenance in 5G V2N

In recent years, with the rapid development of communication networks, Vehicle to Network (V2N) arises at the historic moment. Particularly, due to the characteristics of fifth-Generation (5G) networks including low network latency and high data rate, vehicles can enjoy remote services in a real-time, high-quality and low-cost way. The Third Generation Partnership Project (3GPP) and the European Telecommunications Standards Institute (ETSI) have confirmed that remote diagnosis should be one of the development cores of Vehicle to everything (V2X). However, as vehicle safety is directly attached to the passengers’ safety, it is also a key point to ensure the security of remote diagnosis and maintenance services. In this paper, based on extended Chebyshev chaotic maps, we propose a robust authentication scheme for remote diagnosis and maintenance in 5G V2N. In the proposed scheme, to achieve strong security, anybody, such as the vehicle owner or the Vehicle Service Center (VSC) employee, must enter the valid biometrics and password before enjoying or providing remote diagnosis and maintenance services, and the vehicle and the VSC should authenticate each other to ensure that they are legitimate. Security analysis and performance analysis results show that the proposed scheme provides robust security with ideal efficiency.

Toward Ubiquitous Connectivity via LoRaWAN: An Overview of Signal Collision Resolving Solutions

The ever increasing demand for energy-efficient, long-range, and license-free Internet of Things (IoT) communication networks has spurred great interest in unlicensed low-power wide area networks (LPWANs). Such a revolutionary technology represents a paradigm shift in the development of wireless networks, as it can enable low-power (milliwatts) IoT devices to transmit at low data rates (kilobits per second) over long distances (several kilometers), which is clearly different from conventional IoT networking technologies (e.g., Wi-Fi and ZigBee) that only support short-range communications. Specifically, long-range WAN (LoRaWAN) is a leading and representative LPWAN technology that has been gathering remarkable attention from both academia and industry because of its open source software and installation ease. Despite this interest, however, current LoRaWAN is not yet a mature communication platform to provide ubiquitous connectivity for a wide variety of IoT applications. This is mainly because LoRaWAN typically serves a large volume of coexisting end devices among which signal collisions frequently occur at the physical layer (LoRa) of LoRaWAN, thereby leading to severe degradation of overall network capacity. In this context, the aim of this article is to provide a comprehensive overview of up-to-date physical-layer solutions for LoRa collision resolution. We particularly investigate different types of LoRa collisions resulting from the spreading factor network parameter. Moreover, the potential visions of physical-layer design to resolve LoRa collisions that might be considered for future research are also discussed.

Modeling and Performance Analysis of OAM-NFC Systems

Due to its low energy consumption and simplicity, near field communication (NFC) has been extensively used in various short-range transmission scenarios, for example, proximity payment and NFC entrance guard. However, the low data rate of NFC limits its application in high rate demanded scenarios, such as high-resolution fingerprint identification and streaming media transmission as well as the future promising high rate indoor communications among pads, phones, and laptops. In this paper, we model and analyze the performance of the orbital angular momentum based NFC (OAM-NFC) system, which can significantly increase the capacity of NFC. We first give the OAM system model. With coils circularly equipped at the transmitter and receiver, OAM-NFC signals can be transmitted, received, and detected. Then, we develop the OAM-NFC generation and detection schemes for NFC multiplexing transmission. We also analyze the OAM-NFC channel capacity and compare it with those of single-input-single-output (SISO) as well as multi-input-multi-output (MIMO) NFC. Simulation results validate the feasibility and capacity enhancement of our proposed OAM-NFC system. How different variables, such as the transceiver misalignment, the numbers of transceiver coils, and transceiver distance, impact the OAM-NFC capacity are also analyzed.

An Immunity Estimation Technique for In-Vehicle CAN-FD

It is a well-known fact that a lot of Electronic Control Units (ECUs) and high-speed communication Local Area Networks (LANs) are necessary for Advanced Driver Assistance System (ADAS). Original equipment manufacturers (OEM) are interested in introducing Controller Area Network with Flexible Data Rate (CAN-FD) on vehicles for its high data rate and low data rate arbitration phase. Meanwhile, ensuring immunity performance is one of the main issues in the CAN-FD using differential signals. We previously reported a method to define a criterion for the immunity performance based on Sdc11 of 100 Mbps Ethernet ECU using differential signals. We also examined the definition of mode conversion S-parameter for CAN-FD. Based on them, in this paper, we propose a CAN-FD Transceiver ICs’ immunity evaluation method to be used for IC selection.

Voxel-Based Immersive Mixed Reality: A Framework for Ad Hoc Immersive Storytelling

Abstract Volumetric video recordings of storytellers, when experienced in immersive virtual reality, can elicit a sense of copresence between the user and the storyteller. Combining a volumetric storyteller with an appropriate virtual environment presents a compelling experience that can convey the story with a depth that is hard to achieve with traditional forms of media. Volumetric video production remains difficult, time-consuming, and expensive, often excluding cultural groups who would benefit most. The difficulty is partly due to ever-increasing levels of visual detail in computer graphics, and resulting hardware and software requirements. A high level of detail is not a requirement for convincing immersive experiences, and by reducing the level of detail, experiences can be produced and delivered using readily available, nonspecialized equipment. By reducing computational requirements in this way, storytelling scenes can be created ad hoc and experienced immediately—this is what we are addressing with our approach. We present our portable real-time volumetric capture system, and our framework for using it to produce immersive storytelling experiences. The real-time capability of the system, and the low data rates resulting from lower levels of visual detail, allow us to stream volumetric video in real time to enrich experiences with embodiment (seeing oneself) and with copresence (seeing others). Our system has supported collaborative research with Māori partners with the aim of reconnecting the dispersed Māori population in Aotearoa, New Zealand to their ancestral land through immersive storytelling. We present our system in the context of this collaborative work.

Design and Performance Evaluation of Joint Sensing and Communication Integrated System for 5G mmWave Enabled CAVs

The safety of connected automated vehicles (CAVs) relies on the reliable and efficient raw data sharing from multiple types of sensors. The 5G millimeter wave (mmWave) communication technology can enhance the environment sensing ability of different isolated vehicles. In this paper, a joint sensing and communication integrated system (JSCIS) is designed to support the dynamic frame structure configuration for sensing and communication dual functions based on the 5G New Radio protocol in the mmWave frequency band, which can solve the low latency and high data rate problems of raw sensing data sharing among CAVs. To evaluate the timeliness of raw sensing data transmission, the best time duration allocation ratio of sensing and communication dual functions for one vehicle is achieved by modeling the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M/M/1$</tex-math></inline-formula> queuing problem using the age of information (AoI) in this paper. Furthermore, the resource allocation optimization problem among multiple CAVs is formulated as a non-cooperative game using the radar mutual information as a key indicator. And the feasibility and existence of pure strategy Nash equilibrium (NE) are proved theoretically, and a centralized time resource allocation (CTRA) algorithm is proposed to achieve the best feasible pure strategy NE. Finally, both simulation and hardware testbed are designed, and the results show that the proposed CTRA algorithm can improve the radar total mutual information by 26 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> , and the feasibility of the proposed JSCIS is achieved with an acceptable radar ranging accuracy within <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 0.25 m, as well as a stable data rate of 2.8 Gbps using the 28 GHz mmWave frequency band.

DADC: A Novel Duty-cycling Scheme for IEEE 802.15.4 Cluster-tree-based IoT Applications

The IEEE 802.15.4 standard is one of the widely adopted specifications for realizing different applications of the Internet of Things. It defines several physical layer options and Medium Access Control (MAC) sub-layer for devices with low-power operating at low data rates. As devices implementing this standard are primarily battery-powered, minimizing their power consumption is a significant concern. Duty-cycling is one such power conserving mechanism that allows a device to schedule its active and inactive radio periods effectively, thus preventing energy drain due to idle listening. The standard specifies two parameters, beacon order and superframe order, which define the active and inactive period of a device. However, it does not specify a duty-cycling scheme to adapt these parameters for varying network conditions. Existing works in this direction are either based on superframe occupation ratio or buffer/queue length of devices. In this article, the particular limitations of both the approaches mentioned above are presented. Later, a novel duty-cycling mechanism based on MAC parameters is proposed. Also, we analyze the role of synchronization schemes in achieving efficient duty-cycles in synchronized cluster-tree network topologies. A Markov model has also been developed for the MAC protocol to estimate the delay and energy consumption during frame transmission.

Beyond the Horizon, Backhaul Connectivity for Offshore IoT Devices

The prevalent use of the Internet of Things (IoT) devices over the Sea, such as, on oil and gas platforms, cargo, and cruise ships, requires high-speed connectivity of these devices. Although satellite based backhaul links provide vast coverage, but they are inherently constrained by low data rates and expensive bandwidth. If a signal propagated over the sea is trapped between the sea surface and the Evaporation Duct (ED) layer, it can propagate beyond the horizon, achieving long-range backhaul connectivity with minimal attenuation. This paper presents experimental measurements and simulations conducted in the Industrial, Scientific, and Medical (ISM) Band Wi-Fi frequencies, such as 5.8 GHz to provide hassle-free offshore wireless backhaul connectivity for IoT devices over the South China Sea in the Malaysian region. Real-time experimental measurements are recorded for 10 km to 80 km path lengths to determine average path loss values. The fade margin calculation for ED must accommodate additional slow fading on top of average path loss with respect to time and climate-induced ED height variations to ensure reliable communication links for IoT devices. Experimental results confirm that 99% link availability of is achievable with minimum 50 Mbps data rate and up to 60 km distance over the Sea to connect offshore IoT devices.

A survey of maritime communications: From the wireless channel measurements and modeling perspective

Maritime communications, including inland waterways and sea communications, are key technologies for ensuring communication and navigational safety during maritime activities. New mobile communication technologies, such as 5G and 6G, focus on the full coverage of land, sea, and space. However, the current maritime communications primarily depend on satellite communication systems that have high costs, limited coverage, and low data rate. Thus, research on maritime communications based on broadband technology has garnered attention in recent years, and it requires a deeper understanding of the characteristics of wireless channels. In this paper, we outline the difference between the terrestrial and maritime propagation properties and present a survey of maritime communications in terms of the wireless channel measurements and modeling. Furthermore, the research challenges and directions that may be encountered in future maritime communications are discussed.

Model-Free Power Control for Low-Voltage AC Dispatchable Microgrids with Multiple Points of Connection

This paper proposes a modified version of the power-based control (MPBC) applied to microgrids (µGs) with multiple points of connection (i.e., utility grid itself or any other neighboring µG). Using the MPBC, single-phase distributed energy resources (DERs) arbitrarily connected between the phases share the amounts of balanced power, while the unbalanced and homopolar power are steered only to the line-to-neutral inverters. The control technique is based on a three-level hierarchical control using narrow bandwidth, low data rate communication that properly coordinates the DERs connected to three-phase four-wire µGs. The MPBC allows the DERs to steer power flow at any of the multiple points of common coupling of a multi-PCC dispatchable µG. The modified control proposed herein is evaluated through simulation results using MATLAB/SIMULINK considering a real urban distribution grid with typical operational elements and conditions. When compared to the original power-based control (PBC), results show that a meshed µG may reach power benchmarks with accommodation time 80% lower when applying MPBC. Moreover, it may also lead to significant power loss reduction (about of 5%) in some studied cases.

Attack-aware Synchronization-free Data Timestamping in LoRaWAN

Low-power wide-area network technologies such as long-range wide-area network (LoRaWAN) are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the sensor data is a critical system function. This article considers a synchronization-free approach to timestamping LoRaWAN uplink data based on signal arrival time at the gateway, which well matches LoRaWAN’s one-hop star topology and releases bandwidth from transmitting timestamps and synchronizing end devices’ clocks at all times. However, we show that this approach is susceptible to a frame delay attack consisting of malicious frame collision and delayed replay. Real experiments show that the attack can affect the end devices in large areas up to about 50,000, m 2 . In a broader sense, the attack threatens any system functions requiring timely deliveries of LoRaWAN frames. To address this threat, we propose a LoRaTS gateway design that integrates a commodity LoRaWAN gateway and a low-power software-defined radio receiver to track the inherent frequency biases of the end devices. Based on an analytic model of LoRa’s chirp spread spectrum modulation, we develop signal processing algorithms to estimate the frequency biases with high accuracy beyond that achieved by LoRa’s default demodulation. The accurate frequency bias tracking capability enables the detection of the attack that introduces additional frequency biases. We also investigate and implement a more crafty attack that uses advanced radio apparatuses to eliminate the frequency biases. To address this crafty attack, we propose a pseudorandom interval hopping scheme to enhance our frequency bias tracking approach. Extensive experiments show the effectiveness of our approach in deployments with real affecting factors such as temperature variations.

Landslide Monitoring and Early Warning System based on Edge Computing

With the advancement of modern sensing technology and network communication, the geological disaster monitoring and early warning technology is changing toward intelligence, continuity, and real-time monitoring. The most effective way to improve real-time monitoring and early warning is to conduct front-end analysis in the field of geological disasters. With the application of the Internet of Things technology in geological disasters, field data collection and field-level data strategies belong to the edge computing gateway for execution. According to the latest research trend of landslide on-site monitoring and early warning, edge computing gateways usually use thresholds for monitoring and early warning. On the basis of the empirical model of simple statistics or the theoretical model of landslide deformation early warning, key early warning indicators and weights are proposed to judge the stage of landslide evolution or disaster level. This study starts with a comprehensive analysis of the temporal and spatial evolution of the surface deformation area in the field of geological disaster monitoring. Then, an edge computing smart gateway is designed on the basis of the Linux operating system. The Long Range Radio field wireless sensor network is used to develop an automated monitoring system for slopes of displacement monitoring points, rainfall, and soil moisture content-inducing factors. Subsequently, the effective methods of obtaining multilevel topographic data of slopes are investigated using field information, such as the velocity and acceleration of surface displacement data. The slope multielement trigger monitoring model with multiple induced element coupling modes is explored to realize the front-end edge computing strategy method of slope monitoring and early warning. The analysis results can be sent to high-level data analysis servers, such as the software deployed on the Local Area Network and cloud servers of the relevant department for secondary use. This research overcomes the problems of regular collection of existing on-site monitoring instruments, loss of catastrophic information, and low effective data rate. Compared with traditional working modes, such as uploading the original monitoring data to a server for data extraction and analysis and then feedback to control the field equipment, using front-end edge computing is more efficient in realizing the first data processing utilization and adaptive monitoring processing. It can also provide more effective and reliable data for disaster monitoring and early warning. In conclusion, this research is of great significance in effectively capturing the laws of early evolution, improving real-time early warning capabilities, and promoting the industrialization of national geological disaster monitoring and early warning technology and equipment.

Outage Performance Analysis of Widely Linear Receivers in Uplink Multi-User MIMO Systems

This paper considers the application of widely linear (WL) receivers in an uplink multi-user system using real-valued modulation schemes, where the cellular base station (BS) with multiple antennas provides connectivity for randomly deployed single-antenna users. The targeted use case is massive machine type communication (mMTC) with grant-free access in the uplink, where the network is required to host a large number of low data rate devices transmitting in an uncoordinated fashion. Four types of WL receivers are investigated, namely the WL zero-forcing (ZF) and the WL minimum mean-squared error (MMSE) receivers, along with their enhanced versions employing successive interference cancellation (SIC) with channel-dependent ordering, i.e., the WL-ZF-SIC and WL-MMSE-SIC receivers. The outage performances of these receivers are analytically characterized in the high signal-to-noise ratio (SNR) regime and compared to those of conventional linear (CL) receivers using complex-valued modulation schemes. For the non-SIC receivers, we show that, when compared to the CL counterparts, the WL receivers yield a higher diversity gain when decoding the same number of users and have the same diversity gain but a decreased coding gain when the number of users is nearly doubled. The outage performance analysis of WL-SIC receivers is facilitated by the marginal distribution of ordered eigenvalues of a real-valued Wishart matrix. It is shown that the SIC operation with channel-dependent ordering brings no additional diversity gain to the WL receivers but instead increases the coding gain. Moreover, the coding gain of WL-SIC receivers grows as the number of users increases and even exceeds that of CL-SIC receivers under suitable conditions. For the mMTC scenario with grant-free transmission, it is demonstrated that the WL receivers outperform their CL counterparts in terms of offering a lower outage (and packet drop) probability and a higher system throughput for a given packet drop probability.

Dynamic-Driven Congestion Control and Segment Rerouting in the 6G-Enabled Data Networks

The perceptual experience of next-generation wireless networks is nowadays coexisting with a unified heterogeneous system. It uses advanced internet protocol (IP) features with scalable infrastructure to optimize the efficiency rate of the core networks. Of late, the Internet-of-Things has played a significant role in the growth of smart devices that derive a forward and backward interface to provide a low-rate data flow. Moreover, a software-defined network (SDN) is openly chosen to explore the promising features such as controller and switches to separate the control and data plane. To fulfill the standard constraints of 6G networks, this article presents dynamic-driven congestion control and segment rerouting. It has two essential purposes: 1) to mitigate the flow rate and signal congestion and 2) to enhance the monitoring process and path adjustment. The approach of Deleroi superimposed, forward-backward interface, and segment rerouting have been implemented and configured in the IMSCore platform that examines the quality metrics such as throughput rate and transmission delay. To probe the signaling traffic and congestion rate, two superposition principles were derived that can minimize the transmission rate and signaling congestion to achieve the demands of the media zone.

Evaluation of Event-Based Sensors for Satellite Material Characterization

Broadband photometry has been used for many years to infer basic information about satellites; however, there has been limited success at remotely determining satellite surface materials, and the variability of brightness and spectral energy distribution of satellite reflections complicates satellite identification. This paper demonstrates the potential utility of event-based sensors for remotely characterizing satellites based on the reflectance properties of their surface materials. Event-based sensors offer three important advantages over traditional frame-based sensors, such as charge-coupled devices (CCDs) for characterizing satellite materials on orbit: very high temporal resolution, high dynamic range, and low data rates. This allows rapid, fine-resolution measurements over a broad range of intensities. An event-based camera was used to characterize the broadband reflectance properties of five common satellite materials over a range of illumination and observation angles in the laboratory. Some of the results are very distinctive, and have not previously been reported, demonstrating that event-based sensors might perform better than CCDs at satellite identification and material characterization. The results also show that different materials can exhibit quite different, and sometimes very distinctive, illumination/observation geometry-dependent reflectance characteristics. Using high angular resolution event-based data to assess broadband reflectance changes with changing geometry could be an effective means of unambiguously identifying satellites or determining the presence of specific satellite surface materials.

Third-order Volterra MMSE receivers for enhanced single and multiple antenna interference cancellation

Data-like interference mitigation in wireless communications systems, and in mobile cellular networks in particular, has always been a challenging problem which is becoming even more so for 5G networks and beyond including the Internet of things (IoT), to support a massive number of low data rate devices for given spectral resources. A promising solution to this problem consists in using one dimensional signaling (i.e., real-valued modulations) jointly with widely linear (WL) processing at the receiver, which has the capability to process up to 2N−1 data-like interference from N antenna receivers, and to fulfill, for N=1, single antenna interference cancellation (SAIC) of a one-dimensional interference in particular. However, when the signal of interest (SOI) and observations are jointly non-Gaussian, which is the case for most of digital radiocommunications systems, WL receivers become sub-optimal and optimal receivers become non-linear. It is then of interest to propose new non-linear receivers to improve performance of WL receivers. In this context, the paper aims at introducing, for small-scale systems, third-order complex Volterra (CV) minimum mean square error (MMSE) receivers, for the reception of a digital linearly modulated SOI whose waveform is known, corrupted by potentially non-Gaussian and non-circular interference, omnipresent in practical situations. Properties, performance and adaptive implementation of these receivers in the presence of non-Gaussian and potentially non-circular interference up to the 6th-order are analyzed in this paper. In particular, some of these receivers are shown to enhance WL receiver performance for SAIC of one rectilinear interference such as binary phase-shift keying (BPSK) interference. Whereas some other receivers allow us to fulfill SAIC of 4th-order non-circular interference such as quadrature phase-shift keying (QPSK) interference, which is not possible using WL receivers. These new receivers open new perspectives for cancellation of non-Gaussian and potentially non-circular interference up to 6th-order in radiocommunication networks.

An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection.

Dynamic Vision Sensors differ from conventional cameras in that only intensity changes of individual pixels are perceived and transmitted as an asynchronous stream instead of an entire frame. The technology promises, among other things, high temporal resolution and low latencies and data rates. While such sensors currently enjoy much scientific attention, there are only little publications on practical applications. One field of application that has hardly been considered so far, yet potentially fits well with the sensor principle due to its special properties, is automatic visual inspection. In this paper, we evaluate current state-of-the-art processing algorithms in this new application domain. We further propose an algorithmic approach for the identification of ideal time windows within an event stream for object classification. For the evaluation of our method, we acquire two novel datasets that contain typical visual inspection scenarios, i.e., the inspection of objects on a conveyor belt and during free fall. The success of our algorithmic extension for data processing is demonstrated on the basis of these new datasets by showing that classification accuracy of current algorithms is highly increased. By making our new datasets publicly available, we intend to stimulate further research on application of Dynamic Vision Sensors in machine vision applications.

Energy-Saving D2D Wireless Networking Based on ACO and AIA Fusion Algorithm

Lower energy consumption and higher data rate have been becoming the key factors of modern wireless mobile communication for the improvement of user experiences. At present, the commercialization of 5G communications is gradually promoting the development of Internet of things (IoT) techniques. Due to the limited coverage capability of direct wireless communications, the indirect device-to-device (D2D) communications using information relay, in addition to the single 5G base station deployment, have been introduced. Along with the increase of information nodes, the relay devices have to undertake the nonnegligible extra data traffic. In order to adjust and optimize the information routing in D2D services, we present an algorithmic investigation referring to the ant colony optimization (ACO) algorithm and the artificial immune algorithm (AIA). By analyzing the characteristics of these algorithms, we propose a combined algorithm that enables the improved the iterative convergence speed and the calculation robustness of routing path determination. Meanwhile, the D2D optimization pursuing energy saving is numerically demonstrated to be improved than the original algorithms. Based on the simulation results under a typical architecture of 5G cellular network including various information nodes (devices), we show that the algorithmic optimization of D2D routing is potentially valid for the realization of primitive wireless IoT networks.

MIMO Operations in Molecular Communications: Theory, Prototypes, and Open Challenges

The Internet of Bio-nano Things is a significant development for next generation communication technologies. Because conventional wireless communication technologies face challenges in realizing new applications (e.g., in-body area networks for health monitoring) and necessitate the substitution of information carriers, researchers have shifted their interest to molecular communications (MC). Although remarkable progress has been made in this field over the last decade, advances have been far from acceptable for the achievement of its application objectives. A crucial problem of MC is the low data rate and high error rate inherent in particle dynamics specifications, in contrast to wave-based conventional communications. Therefore, it is important to investigate the resources by which MC can obtain additional information paths and provide strategies to exploit these resources. This study aims to examine techniques involving resource aggregation and exploitation to provide prospective directions for future progress in MC. In particular, we focus on state-of-the-art studies on multiple-input multiple-output (MIMO) systems. We discuss the possible advantages of applying MIMO to various MC system models. Furthermore, we survey various studies that aimed to achieve MIMO gains for the respective models, from theoretical background to prototypes. Finally, we conclude this study by summarizing the challenges that need to be addressed.

Photon Counting Heterodyne With a Single Photon Avalanche Diode

To implement high sensitivity, good anti-interference and low data rate simultaneously in optical heterodyne system, a photon counting heterodyne mechanism is proposed in this letter. Due to the stochastic behavior, a single photon avalanche diode (SPAD) is used as both a photon collector and a sparse sampler. On the one hand, it allows to reduce the power of the intermediate frequency (IF) signal to 1 picowatt or lower. On the other hand, it enables to generate fewer data samples while recovering the spectrum based on compressive sampling (CS). Compared with direct FFT method that recovers the spectrum by FFT directly, the CS method uses the photon arrival sequence as a measurement to recover the spectrum of the IF signal and suppress other frequency components. Therefore, a higher signal-to-noise ratio (SNR) can be implemented. Experimental results show that the SNR of the CS method is approximately 15 dB higher than that of the direct FFT method. In addition, the photon counting heterodyne achieve better anti-interference capability than classical heterodyne.