Adaptive waveform design for enhanced detection of extended target

This paper considers waveform design for target detection with variations in the target impulse response (TIR). A generalized model of the TIR that consists of both the deterministic term and random term is introduced. Based on the derivation of the generalized likelihood ratio test (GLRT) detector and the optimization function for waveform design, an iterative algorithm with the criteria of maximizing the signal to noise ratio (SNR) and minimizing the mean square error (MSE) is proposed. Simulation results verify the efficiency of the proposed method.