Mainlobe Deceptive Jammer Mitigation With Multipath in EPC-MIMO Radar Exploiting Matrix Decomposition

In this paper, the problem of the mainlobe deceptive jammer suppression in the presence of multipaths is addressed in an element-pulse coding-multiple-input multiple-output (EPC-MIMO) meter-wave radar. At the model formulation stage, the EPC-MIMO radar is configured by coding both the transmit elements and slow-time pulses, where the echoes corresponding to the mainlobe jammers from different range ambiguous regions are distinguishable after decoding in the receiver. Then, the overall received signal model, which contains the true target, mainlobe deceptive jammers, and burst jamming signals with multipath effects, is conformed to a low-rank matrix decomposition model with “low-rank + low-rank + sparse” components. In order to recover each of these components, an improved go-decomposition (GoDec) algorithm is proposed. Moreover, orthogonal matching pursuit (OMP) is utilized to estimate the target direction-of-arrival (DOA). A data-dependent beamforming procedure is conducted to suppress the disturbance components based on the minimum variance distortionless response (MVDR) criterion, where the jammer-plus-noise covariance matrix is constructed with the recovered disturbance components involving the mainlobe deceptive jammers and burst jamming signals, and the mainlobe deceptive jammers are suppressed due to range mismatch. Numerical results are provided to demonstrate the effectiveness of our approach in mitigating mainlobe jammers influenced by multipath propagation, and its superiority over competing methods, and the framework counterparts are compared.

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