Real-Valued Covariance Vector Sparsity-Inducing DOA Estimation for Monostatic MIMO Radar.
作者： Xianpeng Wang , Wei Wang , Xin Li , Jing Liu
DOI: 10.3390/S151128271
关键词:
摘要: In this paper, a real-valued covariance vector sparsity-inducing method for direction of arrival (DOA) estimation is proposed in monostatic multiple-input multiple-output (MIMO) radar. Exploiting the special configuration MIMO radar, low-dimensional received data can be obtained by using reduced-dimensional transformation and unitary technique. Then, based on Khatri–Rao product, sparse representation framework formulated to estimate DOA. Compared existing DOA methods, provides better angle performance lower computational complexity. Simulation results verify effectiveness advantage method.
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