FDA-MIMO Transmitter and Receiver Optimization

This paper addresses the joint design of the transmit parameters (i.e., radar code/frequency increments) and the receive filter in a Frequency Diverse Array (FDA)-Multiple-Input Multiple-Output (MIMO) radar system. The operating environment includes clutter, namely signal-dependent interference tied up to the FDA transmitted waveforms and the antenna array features, along with conventional thermal noise. The chosen optimization policy relies on the constrained maximization of the Signal-to-Interference-plus-Noise Ratio (SINR) which for Gaussian interference is tantamount to maximizing the radar detection performance. In this context, a bespoke Minorization-Maximization (MM)-Maximum Block Improvement (MBI) algorithm is proposed to tackle the resulting constrained non-convex optimization problem. The convergence properties of the resulting procedure are rigorously proven, along with a thorough investigation of the computational complexity for its implementation. Finally, numerical results are provided to show the effectiveness of the new technique under diverse clutter scenarios of practical relevance and in comparison with some counterparts.