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.
Highlights
Evaluating the effect of jamming on radar, i.e., exploring evaluation indices to quantitatively assess the performance of radar in complex electromagnetic environment [1]–[3], is central to performance analysis and jamming/anti-jamming design for radar systems
EVALUATION BASED ON peak to average power ratio (PAPR) The signal-level evaluation based on robust time-frequency analysis (RTFA) has been implemented in the section above, and we put emphasis on the system/application-level evaluation based on PAPR
As we have argued in introduction, we aim to deal with two issues in system-level evacuation, namely (a) various applications of pulse Doppler (PD) radar result in the lack of unified evaluation framework and the difficulty of transferring the evaluation from one application to the others, and (b) the traditional methods for system/application-level evaluation always depend on the simulations and experiments and so fail to uncover the jamming mechanism and to provide theoretical guarantee
Summary
Evaluating the effect of jamming on radar, i.e., exploring evaluation indices to quantitatively assess the performance of radar in complex electromagnetic environment [1]–[3], is central to performance analysis and jamming/anti-jamming design for radar systems. The passive jamming and the active jamming [9] are two major types, while the later contains diverse blanket jamming types, such as frequency-modulation (FM) noise, amplitude-modulation (AM) noise, phase-modulation (PM) noise, and radio frequency (RF) noise Another issue for evaluation comes from the complex processing chain of radar system as well as its numerous applications. This chain refers to lots of processing steps, e.g., digital/analog filtering, intermediate frequency and down-converting (IFDC), matched filtering, moving target identification (MTI), etc. [10], [11], and
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
