FDA-MIMO Transceiver Design for Deceptive Jammer Suppression

Abstract

This article addresses the transceiver design in a frequency diverse array (FDA)-multiple-input–multiple-output (MIMO) radar to enhance target detection in the presence of deceptive jammers by optimizing the receive filter, transmit waveform, and frequency increment. The design problem is formulated to maximize the signal-to-interference-plus-noise ratio (SINR) while incorporating constraints of constant modulus and spectral bandwidth. To tackle the resulting NP-hard nonconvex optimization problem, an alternating procedure is proposed that sequentially decomposes the problem into distinct subproblems for each optimized parameter. Specifically, the optimal receive filter is obtained using the minimum variance distortionless response (MVDR) criterion. Then, a majorization-minimization (MM)-alternating direction penalty method (ADPM) algorithm is developed to address the waveform design problem. Moreover, the Dinkelbach-gradient projection (GP) method is applied to optimize the frequency increment. In addition, proofs on the convergence and computational complexity analysis are provided. Numerical simulation results demonstrate the effectiveness of the proposed transceiver optimization method in suppressing deceptive jammers, as evidenced by SINR improvements, beampattern performance, detailed parametric analysis, and detection probability.