Evaluating Effect of Blanket Jamming on Radar Via Robust Time-Frequency Analysis and Peak to Average Power Ratio

Abstract

Evaluating the effect of blanket jamming is at the core of performance analysis and jamming/anti-jamming design for radar. Restricted to diverse jamming types and radar's applications, it is challenging to put forward a unified framework for quantitative evaluation. To address this issue, we come up with a composite evaluation by combining the robust time-frequency analysis (RTFA) and peak to average power ratio (PAPR). In term of signal-level evaluation, RTFA is exploited to analyze the echoes directly, providing the time-frequency (TF) spectrum for calculating two-dimensional image entropy. For system/application-level evaluation, we derive the variation of signal to jamming ratio (SJR) in radar processing chain, and thus define the PAPR to associate SJR with target detection, a type of common and fundamental application that usually affects the other subsequent ones. To refine composite evaluation, we modify the traditional RTFA by leveraging joint sparse model with convolution framelets to improve TF concentration and to avoid the crossing terms; meanwhile, we derive the quantitative relationship between SJR and detection probability, leading to theoretical guarantee of PAPR for evaluation. Finally, the feasibility and the superiority of the proposed evaluation approach are validated in numerical experiments.

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

“…The average signal-to-noise ratio (SNR) has been defined as an evaluation factor, which was used to evaluate the performance of radar suppression noise-AM jamming [38]. Aiming at the diversity of jamming and radar ECCMs, a unified quantitative evaluation method was proposed by combining robust time-frequency analysis (RTFA) and peak-to-average power ratio (PAPR) [39]. In the face of the dynamic and uncertain characteristics of jamming and radar countermeasures, the jamming threat level was defined and used as an evaluation criterion to select the best anti-jamming strategy [40].…”

Advancing Stepped-Waveform Radar Jamming Techniques for Robust False-Target Generation against LFM-CFAR Systems

“…Given the prevalence of CFAR in radar technology, it is imperative to develop jamming techniques capable of countering CFAR-based detection and adapting to its algorithms. Lastly, a comprehensive theoretical framework that quantitatively analyzes the impact of stepped waveforms on the performance of false target jamming remains notably absent [ 35 , 36 , 37 ]. Such a model would enable a deeper understanding of the effectiveness and limitations of jamming techniques based on stepped waveforms.…”