Waveform optimization with SINR criteria for FDA radar in the presence of signal-dependent mainlobe interference

In this paper, we focus on the design of transmit waveforms a frequency diverse array (FDA) in order to improve output signal-to-interference-plus-noise ratio (SINR) presence signal-dependent mainlobe interference. Since classical multi-carrier matched filtering-based FDA receiver cannot effectively utilize waveform diversity FDA, novel framework based multi-channel mixing and low pass filtering is developed keep separation at side, while preserving range-controllable degrees freedom. Furthermore, range-angle minimum variance distortionless response beamforming technique introduced synthesize filter weights with ability suppress possible The resulting problem initially formulated as an optimization consisting non-convex objective function multiple constraints. To efficiently solve this, introduce two algorithms, one signal relaxation technique, other majorization minimization technique. preferable performance proposed optimized illustrated using numerical simulations, indicating that system not only able interference, but also yield estimates higher SINR than without optimization.