Robust Design of Detection and Low Interception Shared Waveform Based on FDA-MIMO

To simultaneously enhance the low interception and target detection performance, we proposed a robust method with low interception and detection shared waveform design based on the frequency diverse array multiple input multiple output (FDA-MIMO). We introduced an encoding-decoding-encoding to process the received signal. Considering the constant modulus constraint and the potential inaccuracies in angle estimation, we formulated an optimization problem involving the phase code waveform. The objective function was to minimize the transmitted gain while maximizing the received gain, thereby reducing the interception factor and enhancing the signal-to-noise ratio (SNR). To solve this fractional optimization problem, we introduced the auxiliary variables to transform the fractional problem into a difference problem. Taylor expansion and sequential convex programming (SCP) are utilized to convert the nonconvex problem into a series of convex sub-problems. Numerical results demonstrate the superiority of the proposed shared waveform.