Cognitive Transmitting Frequency Codewords Design for Sparse Stepped Frequency Radar Based on Sensing Matrix Optimization

Abstract

Cognitive waveform design is of great significance for radar transmitting system to better adapt to the changing electromagnetic environment and target scene. In this paper, a novel cognitive waveform design method of sparse stepped frequency based on sensing matrix optimization is proposed. The proposed cognitive waveform exploits the information returned from the target scene to continuously optimize the transmitted frequency and sensing matrix. Compressive sensing (CS) technique is applied for range-Doppler reconstruction due to the sparse property of the target to be estimated. Comparing with random stepped frequency, this optimized cognitive waveform could further improve the upper limit of the number of detection targets; also increase the accuracy and robustness.