Anti-jamming Technology Research Articles

A Review of Manned/Unmanned Aerial Vehicle Cooperative Technology and Application in U.S. Military

Abstract The paper is to learn the experience in the field of Manned/Unmanned Aerial Vehicle (MUAV) cooperative technology and enlighten the technology development and progress of our country. First of all, it is to collect the typical research projects and tracke experiment dynamic, excavate the development in the field of MUAV cooperative technology route; And then, attention is paid to the related typical application cases to analyze the current technical maturity; Second, from the perspective of technology development, application, analysis is executed from the human-computer interaction control technology, intelligent decision-making technology, communication anti-jamming technology, open hardware and software technology to MUAV; Finally, the experience of the U.S. military in the field of MUAV collaborative technology are summarized, and the enlightenment for the development of China in the field is given.

Design and Research of a Certain Type of Automatic Alarm Equipment

Rapid detection of oxygen leaks in pipelines is crucial to prevent catastrophic accidents. This paper presents the design of an oxygen leakage detection and alarm instrument that converts ultrasonic signals, generated by gas escaping through small holes, into audible frequencies for headset use. This instrument is particularly suitable for ensuring the airtightness of oxygen supply systems for flight crews, engine startup supplemental oxygen systems, and four-station oxygen supply equipment. The design integrates ultrasonic principles, signal processing, computer control, and anti-jamming technologies to detect even minor leaks from a distance. The modular design includes components such as ultrasonic sensors, preamplifiers, filtering circuits, and microcontrollers, ensuring high detection sensitivity and reliability. The alarm system features light and sound alerts, enhancing maintenance efficiency and safety. This modern precision testing instrument significantly improves upon traditional leak detection methods like soapy water tests.

Intelligent Frequency Decision Communication with Two-Agent Deep Reinforcement Learning

Traditional intelligent frequency-hopping anti-jamming technologies typically assume the presence of an ideal control channel. However, achieving this ideal condition in real-world confrontational environments, where the control channel can also be jammed, proves to be challenging. Regrettably, in the absence of a reliable control channel, the autonomous synchronization of frequency decisions becomes a formidable task, primarily due to the dynamic and heterogeneous nature of the transmitter and receiver’s spectral states. To address this issue, a novel communication framework for intelligent frequency decision is introduced, which operates without the need for negotiations. Furthermore, the frequency decision challenge between two communication terminals is formulated as a stochastic game, with each terminal’s utility designed to meet the requirements of a potential game. Subsequently, a two-agent deep reinforcement learning algorithm for best-response policy learning is devised to enable both terminals to achieve synchronization while avoiding jamming signals. Simulation results demonstrate that once the proposed algorithm converges, both communication terminals can effectively evade jamming signals. In comparison to existing similar algorithms, the throughput performance of this approach remains largely unaffected, with only a slightly extended convergence time. Notably, this performance is achieved without the need for negotiations, making the presented algorithm better suited for realistic scenarios.

Radar Anti-Jamming Decision-Making Method Based on DDPG-MADDPG Algorithm

In the face of smart and varied jamming, intelligent radar anti-jamming technologies are urgently needed. Due to the variety of radar electronic counter-countermeasures (ECCMs), it is necessary to efficiently optimize ECCMs in the high-dimensional knowledge base to ensure that the radar achieves the optimal anti-jamming effect. Therefore, an intelligent radar anti-jamming decision-making method based on the deep deterministic policy gradient (DDPG) and the multi-agent deep deterministic policy gradient (MADDPG) (DDPG-MADDPG) algorithm is proposed. Firstly, by establishing a typical working scenario of radar and jamming, we designed the intelligent radar anti-jamming decision-making model, and the anti-jamming decision-making process was formulated. Then, aiming at different jamming modes, we designed the anti-jamming improvement factor and the correlation matrix of jamming and ECCM. They were used to evaluate the jamming suppression performance of ECCMs and to provide feedback for the decision-making algorithm. The decision-making constraints and four different decision-making objectives were designed to verify the performance of the decision-making algorithm. Finally, we designed a DDPG-MADDPG algorithm to generate the anti-jamming strategy. The simulation results showed that the proposed method has excellent robustness and generalization performance. At the same time, it has a shorter convergence time and higher anti-jamming decision making accuracy.

Research on Electromagnetic Protection Characteristics of Vehicle-mounted Electromagnetic Railgun Launcher Lifetime Counting Device

When the vehicle-mounted electromagnetic gun is launched, the vehicle body is subjected to strong arc reaction, magnetic field interference and shock wave phenomenon. By establishing the external magnetic field model of the multi-tube launch chamber, the electromagnetic protection characteristics of the vehicle-mounted electromagnetic gun launcher’s full-life counting device are studied, and the magnetic field characteristics during launch are analyzed by COMSOL software, and the distribution position of the counting device is selected. Then, based on the electromagnetic shielding technology, conduct anti-interference technology research on the counting device, adopt the method of combined shielding, compare and analyze the shielding effectiveness of each shielding body, and propose the best shielding scheme. The life counting device works safely and normally. Therefore, the research method in this paper can provide an electromagnetic shielding scheme for the anti-jamming technology of the remaining electronic equipment of the vehicle-mounted electromagnetic gun, and can provide guidance for the design of the vehicle-mounted multi-barrel electromagnetic gun launching system.

Subset Selection Strategies Based on Target Positioning Characteristics for Anti-Jamming Technology

For the discrimination of false targets, the discrimination probability can be improved by increasing the number of radar stations. However, that may result in a serious waste of equipment resources when too many radars are involved. An asymptotic subset selection strategy based on target positioning characteristics is proposed to address the above issues. Several effective strategies are considered to select some transmitters and receivers to form a radar subset, such as the rapid shrinkage method, global shrinkage method, and predetermined size method, which can guarantee the preset discrimination performance of limited equipment resources and reduce the waste of resources. All of the selected stations have good spatial distribution or strong discrimination capacity in multistatic radar system. Compared with the exhaustive search, the proposed subset selection strategy affords a significant reduction in terms of time complexity. The simulation results show that the radar subset can maintain approximate discrimination performance with the original multistatic radar systems. At the same time, the proposed method optimizes the number of radar stations and reduces data processing time and required communication links, thus effectively saving operating costs.

Equilibrium Approximating and Online Learning for Anti-Jamming Game of Satellite Communication Power Allocation

Satellite communication systems are increasingly facing serious environmental challenges such as malicious jamming, monitoring, and intercepting. As a current development of artificial intelligence, intelligent jammers with learning ability can effectively perceive the surrounding spectrum environment to dynamically change their jamming strategies. As a result, the current mainstream satellite communication anti-jamming technology based on wide interval high-speed frequency hopping is unable to deal with this problem effectively. In this work, we focus on anti-jamming problems in the satellite communication domain, and reformulate the power allocation problem under two kinds of confrontation scenarios as one-shot and repeated games model. Specifically, for the problem of multi-channel power allocation under a one-shot confrontation scenario, we firstly model the problem of allocating limited power resource between communication parties and a jammer on multi-channel based on a BG (Blotto Game) model. Secondly, a DO-SINR (Double Oracle-Signal to Interference plus Noise Ratio) algorithm is designed to approximate the Nash equilibrium of the game between two parties. Experiments show that the DO-SINR algorithm can effectively obtain the approximate Nash equilibrium of the game. For the problem of multi-channel power allocation under a repeated confrontation scenario, we firstly transform the problem into an online shortest path problem with a graph structure to make the problem solving process more intuitive, and then design the Exp3-U (Exp3-Uniform) algorithm which utilizes the graph structure to solve the multi-channel power allocation problem. Experiments show that our algorithm can minimize the expected regret of communication parties during online confrontation, while maintaining good operating efficiency. The two power allocation problems constructed in this paper are common problem formed in confrontation scenarios. Our research and analysis can simulate some actual confrontation scenarios of the satellite communication power allocation, which can be used to improve the adaptability of satellite communication systems in complex environments.

Robust Anti-Jamming Algorithm Based on Transmit/Receive Time-Sharing Technology

Transmit/Receive (T/R) time-sharing is a critical technology to ensure accurate space–time reference information of navigation signals, which solves the problem of co-channel interference between receiver and transmitter. The rapid development of the electronic information industry has led to severe frequency band conflicts between different electronic systems. Satellite navigation receivers must take measures to suppress interference to eliminate the effects of narrowband interference, mainly unintentional interference. Time-domain anti-jamming is widely used in navigation receivers for its simple and easy advantages in ensuring the validity and stability of navigation data. However, because the satellite-ground link receivers adopt transmit/receive time-sharing technology to realize the bidirectional measurement and communication function of the link, the stability of the data solution is greatly affected by anti-interference in the time domain. The anti-jamming filter of the traditional navigation receiver usually re-converges from the initial state in each signal-receiving time slot, which leads to the receiver losing high volume data due to repeated convergence. This paper proposes a robust time-domain anti-jamming technology based on transmit/receive time-sharing technology. The continuity and stability of the interference signal are used to obtain the preliminary information of the periodic transceiver. The results show that robust anti-jamming technology based on a T/R time-sharing navigation signal can effectively improve the carrier-to-noise ratio loss and data loss caused by traditional time-domain anti-jamming technology, reduce the convergence time to nanosecond level, and has bright prospects in the future application of other navigation systems.

Jamming Meets Antijamming: A Survey of GPS Communication Networks

GPS signal is fragile. With the development of GPS interference and anti-jamming technology, this paper tends to briefly describe the current classification of related interference technology and antijamming technology, analyze and summarize the current status of classical interference technology and antijamming technology, compare and analyze all kinds of current interference and antijamming technology, and prospect the future development of interference and antijamming technology.

Dance Movement Interference Suppression Algorithm Based upon Contour Model and AdaBoost Algorithm

With the development of computer technology, digital image processing, as an emerging field, has become an indispensable tool in the information society. The action interference effect refers to the phenomenon that an individual reacts to a dangerous object longer than a safe object in the state of preparation for action. Currently, there is no effective anti-jamming technology to recognize dance movements. In order to solve these problems, this paper proposes a dance movement interference suppression algorithm based on contour model and AdaBoost algorithm, which aims to realize the application of gesture-based behavior recognition technology in the field of dance steps and complete the recognition of some dance steps. The method of this paper is to study the contour model based on the image and then propose to use the AdaBoost algorithm to detect body movements and finally use the radio frequency interference suppression algorithm to ensure the smooth operation of the technology. The function of the method is to propose a dance action recognition and anti-interference algorithm based on contour model and AdaBoost algorithm. This article describes the contour model and then uses the AdaBoost algorithm to recognize the action and adjust the action interference effect. The results show that the algorithm proposed in this paper can accurately identify dance movements, with an average recognition accuracy rate of 99.2%.

Distortionless 1/2 Overlap Windowing in Frequency Domain Anti-Jamming of Satellite Navigation Receivers

Frequency-domain anti-jamming technology is a common anti-jamming method for satellite navigation receivers. 1/2 overlapping windowing can effectively solve the spectrum leakage in the frequency domain conversion process, but the traditional window function will cause the loss of signal energy. This paper proposes a window function design method with no loss of signal energy, which can effectively solve the signal energy loss caused by the window function. The feasibility of the proposed method is theoretically deduced, and the effectiveness of the proposed method is verified by simulation and measured data. Compared with the traditional window function, the signal-to-noise ratio improvement of the method proposed in this paper is better than 0.5 dB. The frequency domain anti-jamming processing is optimized, the signal-to-noise ratio loss caused by the anti-jamming processing is reduced, and the anti-jamming performance is indirectly improved. This plays an important role in the performance optimization of satellite navigation system links.

Analysis of Anti-jamming Technology of Industrial Automation Control System

Analysis of Anti-jamming Technology of Industrial Automation Control System

Research on Anti Jamming Communication Transmission Computer System Based on Intelligent Beamformer

With the continuous improvement of communication technology, electronic communication technology has become an indispensable important technology in people’s life. Although communication technology provides great convenience for the society, it also brings a lot of signal noise interference, which will affect the application of a variety of high-precision equipment signals. Therefore, the research of communication interference and anti-jamming technology is gradually deepened in China. With the development of 5g services, millimeter wave has become the future direction of spectrum development. However, 5g millimeter wave has the characteristics of fading, high rate and delay, which requires the use of beamforming architecture for signal transmission. At present, the beam of digital analog hybrid structure will be restricted in many aspects, such as hardware constraints, poor adaptive ability, etc., which will be difficult to solve by traditional optimization theory. The hybrid beam will have poor adaptive ability, which needs to maintain good performance in a variety of communication scenarios. Therefore, this paper studies a kind of intelligent beam, which is a beam forming technology of neural network. Firstly, this paper analyzes the current beamforming classification. Then, the beamforming technology of neural network is developed. Finally, this paper presents the current anti-jamming technology.

System anti-jamming technology in the design of intelligent single chip computer constant current source of field strength machine

With the development of the electric power industry, the technical level of automatic testing equipment for the reliability of electrical component circuit breakers in the transmission and distribution network is getting higher and higher. The stability and accuracy of the test power supply are the basis for ensuring the pass rate of the test product. Most of the electrical testing and testing equipment has defects such as inaccurate power supply current regulation, low power, and low level of intelligence, which are difficult to meet the testing requirements. Based on the theory of a closed-loop control system, this paper adopts embedded system design technology to realize a high-current, high-power, high-stability digital constant current source system for line detection. This paper studies the rule-based intelligent anti-jamming decision engine design and system anti-jamming performance analysis of NC-OFDM system. We give the design of an intelligent anti-jamming decision engine based on rule-based decision-making, and focus on two intelligent anti-jamming decision-making algorithms: Adaptive Modulation and Coding (AMC) algorithm based on signal-to-noise ratio difference and packet error rate and Adaptive Sub-Band Selection (ASBS) algorithm. Experimental test results show that the output current range is 200 mA to 2000 mA, the system has realized a microstep adjustment of±5 mA, and the absolute error of current measurement is less than 0.3%+4 mA. The system is stable and reliable, and has high practical value in the field of high precision and low power.

Research on Adaptive Waveform Optimization Design of Anti-jamming Radar

With the rapid development of science and technology, the development of radar in China has entered a new stage, but the signal interference problem is still a bottleneck restricting the accuracy of radar detection. Based on this, this paper conducts waveform optimization design research on radar anti-interference and improved detection accuracy. Firstly, the radar is outlined, then six commonly used radar anti-jamming technologies are introduced. Then the characteristics of modern radar anti-jamming technology are analyzed. Finally, the radar waveform is optimized. Through the waveform design adaptive mechanism and simulation, we find that as the number of adaptive iterations increases, the detection probability of interest targets is increasing.

Research on Anti-Jamming for UAV Airborne Jamming Method Based on Relay Optimization Strategy

Aiming at the new threat of Unmanned Aerial Vehicle (UAV) airborne jamming faced by wireless mobile communication networks, a communication network anti-jamming technology method based on relay optimization selection strategy is proposed. In order to achieve the maximum transmission rate of the selected relay node, a system model based on multi-arm bandit (MAB) is established. It is proved by simulation that the method of selecting the best relay node by Upper Confidence Bound (UCB) algorithm is feasible. It can avoid the nodes that are most affected by jamming and improve the anti-jamming ability of the communication system.

Research Progress of Anti-jamming Technology of Unmanned Aerial Vehicle(UAV) Data Link

An high-speed stealth UAV will be developed by an aviation research institute. Data link is an important part of UAV system. In order to have a deeper understanding of data link system, this paper was made through studying many recent academia papers. The basic composition and working principle of UAV data link system was introduced in this paper, the current UAV data link interference and anti-interference technology was expounded, the key problems faced by the development of UAV data link anti-interference technology were summarized, and the future development trend of UAV data link anti-interference technology was pointed out.

Space-time adaptive processing anti-jamming algorithm for navigation receiver

For the problem that the satellite navigation signal is easily interfered, the anti-jamming technology of the traditional navigation receiver usually needs the direction of arrival (DOA) of the navigation signal. This paper proposes an anti-jamming method combining spatial projection and beamforming techniques. The method first constructs the orthogonal complement space of the interference subspace, and then projects the space-time signal vector receives by the antenna array onto it, and then uses the algorithm with strictly constrained minimum power sampling matrix gradient (CSMG) to project the output signal after beamforming in a fixed direction, and finally capture, locate, and solve the interference-free data obtained after beamforming. In this paper, the method is deduced theoretically and the relevant simulation experiments are completed. It shows that the anti-jamming algorithm not only can effectively suppress the interference signal, but also can better retain the desired signal.

Improved Blanket Jamming Against ISAR Based on Nonperiodic Interrupted Sampling Modulation

Imaging jamming of inverse synthetic aperture radar (ISAR) has been studied extensively in recent decades. Among them, the periodic interrupted sampling repeater jamming (P-ISRJ) technology can generate a series of false targets through matching filtering. However, with the rapid development of anti-jamming technology, it is necessary to improve the existing periodic sampling method to achieve better jamming effects. The latest research proposes that the two-dimensional square jamming strip can be generated based on the nonperiodic interrupted sampling repeater jamming (NP-ISRJ) to cover the target. In this article, the influence of NP-ISRJ on ISAR is studied with the model of escort free-flight. A linear weighted optimization method is proposed to improve the uneven energy distribution. The experimental results show that a square jamming strip with better blanket effects can be generated under the traditional range Doppler imaging method. While for the compressed sensing imaging method, the imaging fails because the sparse condition is no longer satisfied. The validity of the proposed blanket jamming method in different ISAR imaging reconstruction methods is verified.

Anti-jamming technology of electronic communication based on improved intelligent algorithm

Anti-jamming technology of electronic communication based on improved intelligent algorithm