.png){kind=icon}
.png){kind=icon}
Return
Waveform-Domain Complementary Moving Target Detection Utilizing Complementary Signal Sets for Multiinterrupted Sampling Repeater Jamming Suppression
.png){kind=icon}
PRE
AI
DOI：10.1109/TAES.2025.3584872.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Interrupted sampling repeater jamming (ISRJ) is a form of intrapulse coherent jamming that, through various modulation techniques, generates deceptive or suppressive false target clusters in the range profile. This study investigates anti-ISRJ techniques based on waveform-domain (WD) complementary signal sets (WDCSS), focusing on scenarios involving moving targets and multiple ISRJ sources. First, the relationship between WD complementarity and Doppler frequency shifts is established through an analysis of the waveform response function of WDCSS, revealing that Doppler frequency shifts disrupt the WD complementarity between the echoes of moving targets and ISRJ. Subsequently, a WD complementary moving target detection method is proposed, extending the complementarity of WDCSS from the WD to the waveform-Doppler domain. Furthermore, a WD generalized adaptive matched filtering technique is developed to handle multiple distinct types of ISRJ scenarios in the waveform-Doppler map. In the proposed methods, WD Bernoulli filtering and WD adaptive filtering are introduced to address nonlinear and linear ISRJ suppression problems, respectively. Finally, simulation results confirm that the proposed methods exhibit superior adaptive antijamming performance for moving targets across multiple distinct types of ISRJ scenarios, without requiring prior jamming information, while effectively preserving the energy of the target echoes. Compared to conventional methods, the proposed approaches demonstrate significantly enhanced adaptive antijamming capabilities.
Keywords:
Adaptive filtering
coherent processing
interrupted sampling repeater jamming (ISRJ) suppression
matched filtering
moving target detection
waveform domain (WD)
Journal
IF:
5.7
Papers:
686
Citations:
2.4W