Robust Transceiver Optimization Against Echo Eclipsing via Majorization-Minimization

The actual target range is unknown during the radar search process, which suggests that an elaborate transceiver synthesis should be concerned, also considering the various number of missed target echo samples. This article focuses on the joint robust synthesis of the radar code and filter bank to improve the target detection capability against the target echo eclipsing and clutter interference. For several practical considerations, two robust design strategies for transceiver optimization are considered. A majorization-minimization (MM) approach (see Section III) is developed to deal with the average signal-to-interference plus noise ratio (SINR) design problem considering energy and similarity requirements on the waveforms. Then, the MM technique is extended to the max-min case. An accelerated MM-based procedure (see Section IV) is presented for solving the worst-case SINR design problem under energy and peak-to-average ratio requirements. Both the proposed algorithms can be ensured to converge to a B(oulingand)-stationary point. Finally, simulation results display that two proposed optimization strategies realize better target detection performance and a higher convergence rate compared with the existing approaches.