Radar Jamming Research Articles

Overview of Radar Jamming Waveform Design

Radar jamming waveform design is a vital part of radar jamming. Over seven to eight decades of evolution, the field has transitioned from noise signal design to coherent jamming signal design, resulting in a multitude of complex jamming styles capable of achieving deceptive jamming, suppressive jamming, and smart noise jamming, which combines both deception and suppression. For the first time, this article establishes a general formula for unifying jamming waveform design. Building upon this foundation, we systematically categorize jamming techniques, and provide an in-depth summary of the corresponding principles and conduct comparative analysis of their effectiveness against different targets. Finally, we look forward in terms of future research directions in jamming waveform design, including quantifiable jamming effect evaluation indicators, combined jamming styles, and intelligent jamming waveform generation methods to address the continuous advancement of radar technology and the complexity and variability of the electromagnetic environment. In order to fill the gap in the literature by summarizing the current state of the field and highlighting key challenges and opportunities, this review provides a comprehensive overview of radar jamming waveform design, categorizes and compares different jamming techniques, and identifies future research directions.

Radar jamming signal recognition algorithm based on multi-feature fusion

Radar jamming signal recognition algorithm based on multi-feature fusion

Hybrid Model–Data-Driven Radar Jamming Effectiveness Evaluation Method for Accuracy Improvement

Accurate and effective radar jamming effectiveness evaluation is the key to forming the radar jamming OODA (Observe, Orient, Decide, Act) loop. The current model-driven evaluation method has low confidence and the data-driven evaluation method lacks sufficient high-quality data; thus, the evaluations that are solely model-driven or data-driven are not effective. In order to solve this problem, we propose a radar jamming effectiveness hybrid model–data-driven evaluation method. Firstly, the mechanism of the model is constructed based on the jamming equations. Secondly, the quality of training data is improved by data cleaning and model correction, after which the hybrid model is realized by training with simulated data and fine-tuning it with real-world data. Finally, the validity of the method is proved by simulation experiments, which show that the method is capable of effectively improving the accuracy of prediction and evaluation, and has good practicability. Compared with the model-driven method, the RMSE (Root Mean Square Error) of the prediction results of this method is reduced by 88.26% and the MRE (Mean Relative Error) is reduced by 92.00%.

Radar Jamming Recognition: Models, Methods, and Prospects

Radar Jamming Recognition: Models, Methods, and Prospects

A Photonics-Assisted Radar Jamming System with Non-Uniform Interrupted Sampling

A Photonics-Assisted Radar Jamming System with Non-Uniform Interrupted Sampling

A Programmable Photonic RF Memory Supporting Functionally-Integrated Radar Jamming

A Programmable Photonic RF Memory Supporting Functionally-Integrated Radar Jamming

A Cross-Modality Contrastive Learning Method for Radar Jamming Recognition

A Cross-Modality Contrastive Learning Method for Radar Jamming Recognition

A Reinforcement Learning Approach to Decision Making of Phased Array Radar Jamming

A Reinforcement Learning Approach to Decision Making of Phased Array Radar Jamming

The method of threat assessment and interference distribution within the framework of cognitive electronic warfare

Problem statement. Electromagnetic spectrum control (EMC) plays an important role in conflict radar. The EMS operational area has unique characteristics that can be used to gain superiority over the enemy. The use of advanced developments in cognitive electronic warfare (CRAB) makes it possible to achieve a dominant position in the use of EMS. The combination of artificial intelligence and machine learning technologies with advanced electronic warfare (EW) technologies has made it possible to take an important step in ensuring maneuverable operations in a duel situation aircraft (LA) – radar station (radar). The presented approach demonstrates the increased efficiency of the CRE due to the use of the threat assessment and interference distribution method (SDR). Goal. The purpose of the article is to show how modern technologies provide a noise distribution strategy that allows aircraft to survive in a dueling situation, despite its complexity. Results. It is shown that the ESD method uses various radar jamming modes, such as: interaction between types and sources of jamming, relative frequency and bandwidth, uncertainty of the threatening environment, and also models the evaluation of radar effectiveness from search to guidance. Practical significance. The article confirms that the conflict radar scenario, which takes into account threat assessments for aircraft and determines the distribution of interference for radar, allows us to determine the optimal interference strategy.

Integrated Radar Jamming Signal Generation and Secure Wireless Communication Based on Photonics at Ka-Band

Integrated Radar Jamming Signal Generation and Secure Wireless Communication Based on Photonics at <i>Ka</i>-Band

Radar shielding jamming method based on random phase modulation of digital coding metasurface

In this paper, a novel radar jamming method based on random phase modulation of digital coding metasurface was proposed. For typical radar system, the modulation model of coding metasurface and the echo model are deduced firstly. Then, the ordered statistics greatest of the constant false alarm rate (OSGO-CFAR) detection model was chosen to analyze the radar detection performance. Through serials of simulation, the influence of modulation modes, modulation switching interval, the number of coding elements and the signal-to-noise ratio (SNR) on radar detection performance is analyzed. Finally, the Monte Carlo simulation is performed. The result shows that as the modulation switching interval of metasurface decreases, the spectrum energy distribution of the target becomes more dispersed and the detection probability of the target decreases obviously. Traditional radar detectors will become ineffective, and the shielding of the target will be achieved. This implies a new radar jamming method which can realize target shielding instead of traditional stealth by reducing the radar cross section.

Research and implementation of a large-bandwidth real-time radar jamming simulator.

The electromagnetic environment faced by modern radar is becoming increasingly complex. One effective means to improve the performance of radar systems is testing in an anti-jamming ability test chamber, where the increased complexity has also led to higher performance requirements for radar jamming simulators. Based on the requirements for modern radar system testing, this paper presents a study of a large-bandwidth real-time radar jamming simulator and describes its overall design architecture; the simulator covers the L-Ku and Ka frequency bands and the instantaneous bandwidth is ≥2GHz, which means that the system is able to simulate 11 interference patterns. Synchronous control of the system is realized in 1ms through use of the reflection memory interrupt mechanism, the synchronous pulse signal mechanism, synchronous timing design, and a real-time control software architecture. An overall design scheme for real-time simulation of a radar target jamming echo is given and baseband signal processing resources are saved through information preprocessing, a large-capacity high-speed storage board is designed to improve the data reading speed, a multiphase filtering structure is used to achieve high sampling rates and save hardware resources, and a high-speed parallel computing method is used to improve computing efficiency; the actual measured baseband signal processing time is less than 500ns. Finally, a measurement platform is built, and the main interference patterns are verified through experimental measurements.

Weakly Supervised Transformer for Radar Jamming Recognition

Radar jamming recognition is a key step in electronic countermeasures, and accurate and sufficient labeled samples are essential for supervised learning-based recognition methods. However, in real practice, collected radar jamming samples often have weak labels (i.e., noisy-labeled or unlabeled ones), which degrade recognition performance. Additionally, recognition performance is hindered by limitations in capturing the global features of radar jamming. The Transformer (TR) has advantages in modeling long-range relationships. Therefore, a weakly supervised Transformer is proposed to address the issues of performance degradation under weak supervision. Specifically, complementary label (CL) TR, called RadarCL-TR, is proposed to improve radar jamming recognition accuracy with noisy samples. CL learning and a cleansing module are successively utilized to detect and remove potentially noisy samples. Thus, the adverse influence of noisy samples is mitigated. Additionally, semi-supervised learning (SSL) TR, called RadarSSL-PL-TR, is proposed to boost recognition performance under unlabeled samples via pseudo labels (PLs). Network generalization is improved by training with pseudo-labeling unlabeled samples. Moreover, the RadarSSL-PL-S-TR is proposed to further promote recognition performance, where a selection module identifies reliable pseudo-labeling samples. The experimental results show that the proposed RadarCL-TR and RadarSSL-PL-S-TR outperform comparison methods in recognition accuracy by at least 7.07% and 6.17% with noisy and unlabeled samples, respectively.

A new oversampling-based full-duplex radar jamming method with a single antenna

A new oversampling-based full-duplex radar jamming method with a single antenna

Frequency diversity array joint radar jamming system shared signal design method

Frequency diversity array joint radar jamming system shared signal design method

Photonics-Based Integrated Radar Jamming and Secure Communication System at Ka-Band

Photonics-Based Integrated Radar Jamming and Secure Communication System at Ka-Band

Deep reinforcement learning based decision making for radar jamming suppression

Deep reinforcement learning based decision making for radar jamming suppression

Microwave Photonics Deceptive RF Regeneration With Multi-Characteristic Regulatory for Radar Jamming

Microwave Photonics Deceptive RF Regeneration With Multi-Characteristic Regulatory for Radar Jamming

Time-varying metasurface driven broadband radar jamming and deceptions

Conventional radar jamming and deception systems typically necessitate the custom design of complex circuits and algorithms to transmit an additional radio signal toward a detector. Consequently, they are often cumbersome, energy-intensive, and difficult to operate in broadband electromagnetic environment. With the ongoing trend of miniaturization of various devices and the improvement of radar system performance, traditional techniques no longer meet the requirements for broadband, seamless integration, and energy efficiency. Time-varying metasurfaces, capable of manipulating electromagnetic parameters in both temporal and spatial domains, have thus inspired many contemporary research studies to revisit established fields. In this paper, we introduce a time-varying metasurface driven radar jamming and deception system (TVM-RJD), which can perfectly overcome the aforementioned intrinsic challenges. Leveraging a programmable bias voltage, the TVM-RJD can alter the spectrum distribution of incident waves, thereby deceiving radar into making erroneous judgments about the target's location. Experimental outcomes affirm that the accuracy deviation of the TVM-RJD system is less than 0.368 meters, while achieving a remarkable frequency conversion efficiency of up to 96.67%. The TVM-RJD heralds the expansion into a wider application of electromagnetic spatiotemporal manipulation, paving the way for advancements in electromagnetic illusion, radar invisibility, etc.

Joint Radar Jamming and Communication System Design Based on Universal Filtered Multicarrier Chirp Waveform

In this article, we propose a joint waveform based on universal filtered multicarrier (UFMC) chirp for radar jamming and communication joint systems. Modulation of radar jamming chirp signals and communication signals on different subcarrier groups in the UFMC sub-band is used to achieve the waveform design. The jamming signal in the waveform contains a frequency shift coefficient that depends on the delay time, which can effectively improve the anti-frequency hopping ability and enhance the overall jamming efficiency. Simultaneously jamming signals can provide assistance in channel estimation and equalization of communication, improving the information transmission quality of communication subsystems. We concluded through reasonable trade-off analysis that the combined weight of radar jamming and communication is closely related to the overall performance of the waveform. The simulation results show that the proposed UFMC chirp synthesized waveform has good jamming and communication performance. Software defined radio (SDR) simulation experiments demonstrated the effectiveness of this method in practical environments.