An FDA-MIMO radar 2-D parameter estimation algorithm based on graph signal processing

作者：Haijun Wang, Kefei Liao, Ningbo Xie, Hanbo Chen, Qinlin Li · 发表于：Remote Sensing Letters · 年份：2024 · DOI：10.1080/2150704x.2024.2439073 · 被引用次数：2 · 研究领域：Radar Systems and Signal Processing、Advanced SAR Imaging Techniques、Sparse and Compressive Sensing Techniques

To improve the range-angle estimation accuracy of frequency diverse array multiple Input multiple output (FDA-MIMO) radar at low SNR, this letter proposes a joint estimation algorithm of FDA-MIMO radar target range-angle based on graph signal processing (GSP). Firstly, the adjacency matrix is constructed according to the FDA-MIMO radar signal model, and then the eigenvector of the target is extracted by the eigen-decomposition of the adjacency matrix. Secondly, the echo signal is processed by graph Fourier transform (GFT). Finally, the spectral peak search response function is established to obtain the range-angle information of the target. The experimental results show that the proposed algorithm has higher estimation accuracy than the MUSIC algorithm when the SNR is lower than 0 dB, and it has certain advantages and application potential for the parameter estimation of weak targets.