Space-Time-Waveform Joint Adaptive Detection for MIMO Radar
Jian Guan, Xiaoqian Mu, Yong Huang, Xiaolong Chen, Yunlong Dong
Abstract
Multiple Input Multiple Output (MIMO) radar, a new radar system with waveform diversity, can improve detection performance. However, there are still challenges in the current MIMO radar target detection process, such as difficult waveform separation, high data demand, high algorithm complexity, and poor detection performance. To address these issues, this letter presents a Space-Time-Waveform Joint Adaptive Detection (STWJAD) method. By combining spatial, temporal, and waveform dimensions, the STWJAD is based on the Linearly Constrained Minimum Variance (LCMV) criterion to achieve effective adaptive processing and detection. Experimental results demonstrate that the proposed method can effectively suppress sidelobes, clutter and noise, exhibit excellent detection capabilities, and boast a lower data demand, faster processing speed.