Joint Waveform and Filter Design for Interference Suppression in Moving Target Environments

Moving targets and digital radio frequency memory (DRFM) interference distort the radar echo due to complex waveform modulation, severely degrading the radar detection performance. In this article, we propose a joint waveform and filter design scheme with Doppler-tolerant and antijamming (JWFDA) for...

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Veröffentlicht in:IEEE transactions on aerospace and electronic systems Jg. 61; H. 5; S. 12508 - 12524
Hauptverfasser: Lan, Zhengyu, Zuo, Lei, Liao, Bin, Yang, Tian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Cross correlation
Digital radio frequency memory (DRFM) interference
Doppler effect
Electronic countermeasures
Filter design (mathematics)
Filtering algorithms
Interference
Jamming
moving target
Moving targets
Object detection
Optimization
peak sidelobe level (PSL)
Polynomials
Radar
Radar detection
Radar echoes
Radar imaging
receive filter
Sidelobes
waveform design
Waveforms
ISSN:0018-9251, 1557-9603
Online-Zugang:Volltext
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Zusammenfassung:Moving targets and digital radio frequency memory (DRFM) interference distort the radar echo due to complex waveform modulation, severely degrading the radar detection performance. In this article, we propose a joint waveform and filter design scheme with Doppler-tolerant and antijamming (JWFDA) for DRFM interference suppression in moving target environments. First, we formulate the moving target autocorrelation peak sidelobe level (M-APSL) model of moving target clusters and the moving jamming cross-correlation peak level (M-JCPL) model of DRFM interference. Second, we establish a JWFDA design scheme to simultaneously minimize M-APSL and M-JCPL while satisfying the moving target loss in processing gain constraint of transmit waveform and receive filter, which is a nonconvex, nonsmooth, and multimax function optimization problem. To solve it, we smooth the multimax function by using the <inline-formula><tex-math notation="LaTeX">L_{p}</tex-math></inline-formula> norm. Third, we propose a multi-<inline-formula><tex-math notation="LaTeX">L_{p}</tex-math></inline-formula> norm balanced penalty majorization-minimization algorithm, which approximates the multi-<inline-formula><tex-math notation="LaTeX">L_{p}</tex-math></inline-formula> norm as a quadratic polynomial and avoids the overfitting of penalty terms. Numerical simulations demonstrate that the proposed method generates the waveforms and the filters with superior performance and effectively suppresses several kinds of DRFM interference in moving target environments.
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ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2025.3573980