Robust Design of Transmit Waveform and Receive Filter For Colocated MIMO Radar
Wei Zhu, Jun Tang

TL;DR
This paper proposes a robust joint transmit waveform and receive filter design for colocated MIMO radar that maximizes worst-case SINR under signal-dependent interference, using SDP and cyclic optimization.
Contribution
It introduces a novel optimization framework combining rank-one relaxation and SDP for robust MIMO radar waveform and filter design.
Findings
The proposed method effectively enhances SINR in numerical simulations.
The cyclic optimization algorithm converges reliably to a good solution.
The approach handles unknown target angles and interference robustly.
Abstract
We consider the problem of angle-robust joint transmit waveform and receive filter design for colocated Multiple-Input Multiple-Output (MIMO) radar, in the presence of signal-dependent interferences. The design problem is cast as a max-min optimization problem to maximize the worst-case output signal-to-interference-plus-noise-ratio (SINR) with respect to the unknown angle of the target of interest. Based on rank-one relaxation and semi-definite programming (SDP) representation of a nonnegative trigonometric polynomial, a cyclic optimization algorithm is proposed to tackle this problem. The effectiveness of the proposed method is illustrated via numerical examples.
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Taxonomy
TopicsRadar Systems and Signal Processing · Advanced SAR Imaging Techniques · Ocean Waves and Remote Sensing
