Implementation Of Radar Research Articles

The impact of a nurse's dual role on implementing an effectiveness study.

Reorganizing the Approach to Diabetes through the Application of Registries (RADAR) improved diabetes care and outcomes for First Nations people in Alberta, Canada. The nurse involved in the implementation of RADAR performed two roles in this model of care: research nurse and care coordinator. To describe the research nurse's dual role in the implementation and evaluation of RADAR. The research nurse not only documented and collected data in hard-to-reach communities as part of effective research, she also provided remote care coordination to support community healthcare providers using a culturally tailored registry to facilitate population-level care. This dual role required many qualities of nursing leadership and transformation. The research nurse's two roles contributed to the success of the intervention and were critical to the successful implementation of the model, creating valuable real-world evidence across diverse populations and settings. for practice Nurses are well placed to perform research duties alongside engagement and implementation activities. This can enhance the effectiveness and evaluation of healthcare interventions, particularly in community-based interventions within First Nations communities.

TRENDS OF THE MICROWAVE PHOTONIC RADARS

Today, the world's leading countries are intensively working on the development of new generation radars - microwave photonic radars. Microwave photonic radars make it possible to significantly reduce the mass and size characteristics of radar stations, to increase the information capability and range of target detection due to the reduction of losses in long communication lines when using optical fiber, to ensure high immunity due to the significantly lower sensitivity of optical-electronic equipment and fiber-optic lines of communication connection to external electromagnetic influences. Microwave photonics provides wide bandwidth, flat response, low loss transmission, multi-dimensional multiplexing, ultra-fast analog signal processing and immunity to electromagnetic interference. Radar implementation in the optical domain can provide better resolution, coverage, and speed performance, which would be difficult to implement with traditional electronics. The review article examines the state of development and system architectures of such photonic radars as optoelectronic hybrid radars, all-optical radars, multifunctional microwave photonic radar systems, distributed microwave photonic radars, software-defined radars, and cognitive radars. New technologies in this field and possible future directions of research are discussed. As an example, a broadband microwave photon radar reproduced on the basis of a microcircuit is considered. The broadband signal generator and receiver are built into the silicon crystal on the insulator. A high-precision distance measurement with a resolution of 2.7 cm and an error of less than 2.75 mm was obtained. Visualization of multiple targets with complex profiles has been implemented. But the performance of most integrated microwave photonic chips is not yet satisfactory for practical radar applications. Monolithic integration of key microwave photonic subsystems is also not mature enough for practical applications, so hybrid integration of devices fabricated on their optimal integration platforms is of practical interest. At present, indium phosphide, silicon nitride and silicon on insulator are the three leading platforms for photonic integration

Estimation of the spatial resolution of a synthetic aperture radar antenna of the VHF frequency range placed on board an unmanned aerial vehicle along a real flight path

Background. Currently, there is an intensive development of radar systems for remote sensing of the Earth, including those placed on unmanned aerial vehicles. Synthetic aperture radars are an effective means of round-the-clock and all-weather observation of objects on the Earth’s surface. Radars operating in the VHF range allow you to observe hidden and subsurface objects. The need for practical implementation of VHF band radar with synthesizing the aperture on board unmanned aerial vehicles requires additional research on the spatial resolution of radars, taking into account the unstable trajectory of the carrier. Aim. The article considers the analysis of the influence of the flight path and its measurement errors on the quality of the radar image. Methods. The research method provides an analysis of the shape of the radar uncertainty function with the synthesis of an aperture, which was built along a real trajectory using semi-natural mathematical modeling. Results. As a result of the conducted research, it is shown that the quality of radar images is influenced not only by errors in the knowledge of motion parameters, but also by the very nature of the carrier’s movement and the duration of the flight. Conclusion. Based on the results of field tests, it turned out to be possible to analyze these factors and determine the requirements for the UAV navigation system. Thus, the article shows the possibility of quality control of VHF band radar with synthesized aperture placed on board a UAV.

Modeling and Implementation of a Joint Airborne Ground Penetrating Radar and Magnetometer System for Landmine Detection

We modeled and implemented a joint airborne system integrating ground penetrating radar (GPR) and magnetometer (MAG) models specifically for landmine detection applications. We conducted both simulations and experimental analyses of the joint airborne GPR and MAG models, with a focus on detecting the metallic components of different types of landmines, including antitank (AT) M15 metallic, antipersonnel (AP) M16 metallic, and AT M19 plastic (minimum-metal) landmines. The GPR model employed the finite-difference time-domain (FDTD) method and was evaluated using a singular value decomposition (SVD) and Kirchhoff migration (KM) with matched filtering (MF). These advanced techniques enabled the automatic identification and precise focusing of the reflected hyperbolic signals emitted by the landmines while considering cross-range resolution. Additionally, the MAGs were utilized based on the magnetic dipole model with a de-trend and a spatial median filtering method to estimate the magnetic anomaly of the landmines while considering various data spatial intervals. The joint airborne GPR and MAG system was implemented by combining and integrating the GPR and MAG models for experimental validation. Through this comprehensive approach, which included experiments, simulations, and data processing, the design parameters of the final system were obtained. These design parameters can be used in the development and application of landmine detection systems based on airborne GPR and MAG technology.

A Ku-Band GaN-on-Si MMIC Power Amplifier with an Asymmetrical Output Combiner.

In this paper, a microwave monolithic integrated circuit (MMIC) high-power amplifier (HPA) for Ku-band active radar applications based on gallium nitride on silicon (GaN-on-Si) is presented. The design is based on a three-stage architecture and was implemented using the D01GH technology provided by OMMIC foundry. Details on the architecture definition and design process to maximize delivered power are provided along with stability and thermal analyses. To optimize the amplifier performance, an asymmetry was included at the output combiner. Experimental results show that the HPA achieves a 39.5 dBm pulsed-mode output power, a peak linear gain of 23 dB, a drain efficiency of 27%, and good input/output matching in the 16-19 GHz frequency range. The chip area is 5 × 3.5 mm2 and for the measurements was mounted on a custom-made module. These results demonstrate that GaN-on-Si-based Solid-State Power Amplifiers (SSPAs) can be used for the implementation of Ku-band active radars.

ДВУХПОЗИЦИОННЫЙ ГЕОРАДИОЛОКАТОР НА БПЛА ДЛЯ ОПЕРАТИВНОГО МОНИТОРИНГА ПОДПОВЕРХНОСТНЫХ ВОДНЫХ РЕСУРСОВ

This paper considers the implementation of a two-position ground penetrating radar (GPR) located on board unmanned aerial vehicles (UAVs) and designed for the operational search for groundwater in arid and desert regions of Mongolia, which is an extremely urgent task. With the help of synthesizing the GPR antenna aperture on the UAV, a significant increase in information content is achieved compared to existing GPRs, since it becomes possible to obtain a panoramic radar image of the subsurface layers of the probed medium with the required resolution with a sufficiently wide swath. On the other hand, the necessary efficiency (required, for example, when monitoring vast desert areas) can only be achieved with a sufficiently wide field of view created on the basis of the two-position sounding principle, where the emitting and receiving signals are formed and processed on UAVs of different or equal heights flying with the same speed and spaced orthogonally to the direction of their movement, which makes it possible to use quasi-mirror reflection. In this case, the swath will be noticeably larger than in the case of nadir sounding. In a condensed form, the article considers the following issues: the model of a subsurface aquifer, the geometry of a two-position GPR in the quasi-mirror sounding mode, up to the features of synthesizing the aperture (Doppler narrowing of the radiation pattern) of the receiving antenna, resolution, the required potential of a two-position GPR for reliable detection of an aquifer subsurface horizon, accuracy measurements of its depth, as well as the need for experimental work to test the theoretical provisions.

Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation

In recent years, research has been actively carried out aimed at developing the concept of construction and ways of technical implementation of ground penetrating radars with continuous wave linear-frequency-modulated (LFM) radiation. The key prerequisites for the creation of such systems are the complex consideration of the operating conditions of the radio channel in the near field, including the features associated with multichannel leakage of the probing signal components into the reception path, the presence of multipath reflections from the covering surface, the variable speed of the electromagnetic wave, and the provision of linear processing of a continuous group broadband radio signal with large dynamic range. The paper proposes and describes a scheme of a laboratory stand for LFM GPR research and optimization of the energy characteristics in modes with critical levels of reflections. The results of experiments on the analysis and optimization of the parameters of the end-to-end transfer characteristic of the radio channel are presented. Response studies were performed for two types of antennas at different suspension heights. The responses of the system to an increase in the durtion of the probing pulse and a change in the type of window function were evaluated. An empirical dependence of signal losses during propagation in radio channels of LFM GPR has been established. The conducted studies will improve the energy characteristics of ground penetrating radars with continuous LFM radiation by increasing the detection efficiency of shallow and near-surface objects.

О возможности реализации нелинейного радиолокатора с обработкой на частоте зондирующего сигнала

The conditions for the implementation of a nonlinear radar using a probing signal having a form as a periodic sequence of pairs of radio pulses with different amplitudes and equal energies, are considered. The energies of the reflected pulses are compared in the locator receiver for each pair, which makes it possible to detect reflections from nonlinear devices at the probing signal frequency by violating the equality of these energies. A numerical experiment was performed to evaluate the dependence of the current form through germanium and silicon diodes and their amplitude parameters at the frequency of the acting sinusoidal voltage with variable amplitude. As a result, it was found that the amplitude nonlinearity can be detected before the diode is completely "opened" if the two voltage amplitudes on the diode differ from each other by at least one and a half to two times. Since the pulse energies are proportional to their powers, and the pulse durations are unchanged, it should be possible to detect non-linearity by determination of a ratio between the radar cross-sections of non-linear objects for different pulse amplitudes. To obtain quantitative estimates, a simulation of the incidence of a flat, linearly polarized wave on a half-wavelength dipole and a half-wavelength folded dipole loaded with a diode was performed. It was found that the model type and parameters significantly affect both the values of the radar cross-sections and the degree of influence of nonlinearity on these values, so that the detection of non-linearity requires significantly higher power levels of the probing signal than the theory predicts.

SIGNAL PROCESSING IN A ROBOTIC VEHICLE OBSTACLE WARNING RADIO SYSTEM IN THE SUBTERAHERTZ FREQUENCY RANGE

The article describes the features of the implementation of radars with the synthesis of the anterolateral viewing aperture in the subterahertz frequency range, designed to implement an obstacle warning system for a robotic vehicle. It is shown that vibrations with standard deviation systems of about 1 mm representa significant problem for the implementation of SAR modes in the W range. In order to overcome this problem, it is proposed to use Bayesian algorithms for the formation of radar images in conditions of a priori uncertainty.

Detection of Low RCS Unmanned Air Systems Using K-Band Continuous Wave Doppler Radar

UASs (Unmanned Air Systems) are universally used in many activities, spanning from leisure-commercial to military applications. Accordingly, as the number of UASs operating in the sky increases, so does the need to detect and identify them, in order to ensure their legitimate use. This paper introduces a continuous wave (CW) Doppler radar implementation that can be used to provide early warning for flying-by small UASs. By applying Fast Fourier Transform (FFT) to the returned signal’s Doppler frequency, estimations can be made regarding the presence of aerial bodies inside an Area of Interest (AoI). Achieving reliable detection with a low false alarm rate (FAR) while keeping the size and power demands of the system to minimum was a challenge that was successfully met. The proposed system was extensively tested in outdoor environments; measurement results are presented and parameters such as radar power, antenna gain, and noise are discussed.

SDFnT-Based Parameter Estimation for OFDM Radar Systems with Intercarrier Interference

The orthogonal frequency division multiplexing (OFDM) radar suffers from severe performance degradation in range-velocity estimation in high mobility scenarios. In this paper, a novel intercarrier interference (ICI)-free parameter estimation method for OFDM radar is proposed. By employing a scale discrete Fresnel transform (SDFnT), the OFDM radar signals are converted to the scale Fresnel domain, and the orthogonality of subcarriers can be recovered with the optimal scale factor. Furthermore, due to the compatibility of the SDFnT and the discrete Fourier Transform (DFT), the proposed method has low computational complexity and high feasibility for OFDM radar implementation. Simulation results show that the proposed SDFnT-based scheme effectively eliminates the ICI effect for single and multiple targets and achieves high accuracy delay-Doppler estimation for OFDM radar systems in circumstances of high velocity and low SNR with consistency and robustness.

High-order GPU-DGTD method based on unstructured grids for GPR simulation

The finite element time-domain (FETD) method is an appealing electromagnetic (EM) field-solving procedure for the derivation of high-resolution field distribution of complex geological models. However, the arising computational burden has become a main bottleneck restricting the efficient implementation of ground penetrating radar (GPR) simulation at a high speed and large scale. In this research, we developed a high-efficiency EM solver to discretize the partial differential equations on unstructured triangular meshes, using a high-order graphics processing unit (GPU)-finite element discontinuous Galerkin time-domain (DGTD) method. By introducing a semi-discrete strong format instead of solving large stiffness matrices, and by employing the Runge-Kutta temporal integration scheme, the DGTD method can effectively overcome the problem of memory shortage and thereby solves the issue of instability. Besides, the uniaxial perfectly matched layer (UPML) is extended to match the lossy medium and used as an absorbing boundary condition to simulate an open space. Three models were manufactured to compare the DGTD method with the state-of-art methods (FDTD, FETD) of different grids in terms of computing accuracy, the dispersion degree of the rough interface, and memory occupied. To be specific, we explored the detailed effect of both the grid sizes and the order of basis functions on the modeling accuracy for the proposed GPU-DGTD method. We finally verified the numerical solution and demonstrated its applications by simulating a complex model for tunnel geological forecast. The experimental results reveal the order of basic function N and the size of the grid d are closely concerned with the wavelength λ of EM waves, for example, an appropriate definition is d/N ≈ λ/15.

A Transmitter Design for the Multi-beam CC-OFDM Azimuth Scanning MIMO Radar

A conventional phased array radar provides a high gain by transmitting coherent signals over a large number of antenna elements. However, it does not provide a full time-on-target because it produces beams that scan the whole angular view of the radar. This paper describes an implementation of circulating codes (CC) in azimuth scanning MIMO radar that adopts OFDM waveform. The CC MIMO technique can produce a beam toward a certain angle by applying an appropriate delay difference between the MIMO antennas that transmit the same waveform across the azimuth. The adoption of OFDM waveform in the CC MIMO radar, gives the possibility to apply the phase difference for beamforming in the frequency domain of the OFDM signals. CC-OFDM MIMO with spectrum division into sub-bands and use of orthogonal codes, allow for simultaneous transmission of orthogonal OFDM symbols that generate orthogonal beams toward different angles. This strategy makes it possible for the radar system to have multiple and simultaneous beamforming to provide a full-time coverage. Furthermore, the transmission of a series of orthogonal OFDM symbols in each beam enables the detection of long-range targets. By taking as an example the design of long-range surveillance radar, the paper discusses further issues pertinent to the implementation of the CC OFDM MIMO radar, including the beam squinting problem and its remedy, arrangement of the multiple beams, the radar system structure, use of Golay codes for orthogonalization and PAPR mitigation, use of software-defined radar that eliminates the need of amplitude and phase control in each transmitter, transmit scheduling for multi-beam long-range target detection, and multidimensional ambiguity function analysis. The latter indicates that the CC OFDM MIMO radar can achieve a high resolution in angle, range, and velocity, with beam isolation of -30 dB for neighboring beams and co-channel beams.

MIMO Radar Hardware Acceleration with Enhanced Resolution

This paper proposes a method for accelerating an enhanced resolution 3D (range, velocity, and azimuth) Multiple Input Multiple Output (MIMO) radar on a Graphics Processing Unit (GPU). Implementation of MIMO radars and the investigation of their performance are of interest to the research community. However, the MIMO mode of operation increases the computational requirements of the radar system and seldom permits real-time operation without performance compromises. Current methods for achieving reasonable frame rates include reducing the scope of the radar (i.e., limiting the number of dimensions, the field of view, or the ranges of interest), choosing efficient but coarse algorithms (i.e., the FFT for range, velocity, and bearing estimation), or offloading the computation on task specific hardware, DSP, or FPGA. The proposed framework enables real-time operation of the MIMO radar by performing the signal processing on a GPU without compromising the radar coverage, while replacing the widely used 3D FFT with an enhanced resolution alternative. The proposed framework is tested on a Frequency Modulated Continuous Wave (FMCW) MIMO radar using 8 transmitters, 8 receivers, and having a Coherent Processing Interval (CPI) of 256 chirps. The parallel implementation of the enhanced resolution signal processing yields an acceleration of 453.6x when compared to sequential execution on CPU.

X‐band 8 × 8 phased‐array 4‐channel FMCW receiver in 65 nm CMOS technology

Optimized two radar RFICs for an X-band 8 × 8 phased-array 4-channel frequency-modulated continuous-wave receiver is proposed using 65-nm CMOS technology and the beam steering operation of the receiver module is demonstrated. The 8 × 8 phased-array receiver module is constructed using 16 2 × 2 phased-array receivers and a 4-channel receiver for implementation of monopulse radar. The array size is scalable with the proposed two chips solution. The 2 × 2 phased-array receiver has novel vector-sum phase-shifter with 7-bit resolution in low supply voltage. The measured result of the phase shifter shows 7-bit phase states with a 0.37° RMS phase error and a 2.17 dB gain error over 360° sweep.

Remote Sensing of the Polar Ice Zones with HF Radar

Radars operating in the HF band are widely used for over-the-horizon remote sensing of ocean surface conditions, ionospheric studies and the monitoring of ship and aircraft traffic. Several hundreds of such radars are in operation, yet only a handful of experiments have been conducted to assess the prospect of utilizing this technology for the remote sensing of sea ice. Even then, the measurements carried out have addressed only the most basic questions: is there ice present, and can we measure its drift? Recently the theory that describes HF scattering from the dynamic sea surface was extended to handle situations where an ice cover is present. With this new tool, it becomes feasible to interpret the corresponding radar echoes in terms of the structural, mechanical, and electrical properties of the ice field. In this paper we look briefly at ice sensing from space-borne sensors before showing how the persistent and synoptic wide area surveillance capabilities of HF radar offer an alternative. The dispersion relations of different forms of sea ice are examined and used in a modified implementation of the electromagnetic scattering theory employed in HF radar oceanography to compute the corresponding radar signatures. Previous and present-day HF radar deployments at high latitudes are reviewed, noting the physical and technical challenges that confront the implementation of an operational HF radar in its ice monitoring capability.

An Efficient Implementation of Intermodulation Radar With an Integrated EMI Sensor

An optimized implementation of intermodulation radar with the increased classification performance is presented. The system is designed to include multiple sensors namely an intermodulation radar and an electromagnetic induction (EMI) sensor to reach the better classification results. The system is able to operate as harmonic radar (HR), intermodulation radar (IR) or intermodulation radar with an EMI sensor (IR-EMI). Integration of those sensors within a compact sensor head is demonstrated and a novel technique to reduce the self-detection of sensors is also given. A classification algorithm is developed to utilize all sensor data to extract more information about the target. The system is tested on some real targets and the classification performance is tabulated. Use of intermodulation radar is effective to increase the detection performance for semiconductor targets and EMI sensor helps to classify corrosive and metal targets better.

Biomedical Sensing Using Quantum Radars Based on Josephson Parametric Amplifiers

We discuss the feasibility of using microwave quantum radars in biomedical sensing applications, with a heavy focus on the equipment needed to operate such radars. A recent microwave quantum radar experiment used a device called a Josephson parametric amplifier (JPA) to generate quantum entangled signals. Since JPAs or JPA-like devices are expected to be used in most quantum radar implementations in the foreseeable future, we examine the operating requirements of JPAs. We find that the most important requirement for operating a JPA is the need for cryogenic cooling. This is easily accommodated in medical environments such as hospitals, so it is natural to consider whether quantum radars could work for biomedical sensing. We then find that, in fact, many of the strengths of quantum radars are naturally suited to medical contexts. We therefore conclude that the case for using JPA-based quantum radars for medical sensing is a strong one.

Crosstalk in modern software defined radio for the implementation of frequency modulated continuous wave radar

This study investigates crosstalk and leakage in the Software Defined Radio implementation of Frequency Modulated Continuous Wave (FMCW) radar systems. Empirical measurements of leakage power were conducted during the implementation of FMCW radar using National Instruments Universal Software Radio Peripheral (USRP) boards. Mono-static and bi-static/distributed Transmitter-Receiver configurations are compared for low power micro-Doppler applications. The impact of crosstalk on the dynamic range of the target is also investigated. The impact of electric noise generated by a windy source on the receiving USRP is also investigated. Furthermore, a simple splitter based approach is proposed to overcome the challenge of synchronisation or recovery of transmitted waveform in distributed configurations.

RANCANG BANGUN ALAT PENDETEKSI SUARA, GETARAN DAN IMAGE TANK MENGGUNAKAN ARTIFICIAL NEURAL NETWORK

In this study, the created tool uses a camera to capture images of the tanks that will be detected and uses sound and vibration sensors to collect data on vibrations and sounds caused by objects, which will later be displayed in the visualization application. Based on the description that has been explained about the benefits of using radar and research related to the implementation of radar that can be developed in the military world, namely the development of sound, vibration and image detection equipment using artificial neural networks.