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An efficient sparse representation algorithm for DOA estimation in MIMO radar system

机译:MIMO雷达系统中DOA估计的一种有效稀疏表示算法

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In this paper, an efficient sparse representation algorithm for direction of arrival (DOA) estimation in a multiple-input multiple-output (MIMO) Radar system is proposed. The proposed method converts the received data into a low-dimensional real-valued one by exploiting the characteristic of MIMO radar system. Then the DOA estimation is realized via the reweighting l1 norm minimization algorithm. Compared with l1-SVD and real-valued l1-SVD algorithm, the proposed method provides better angle estimation performance for both uncorrelated targets and correlated targets. Simulation results verify the effectiveness and advantage of the proposed method.
机译:本文提出了一种有效的稀疏表示算法,用于多输入多输出(MIMO)雷达系统中的到达方向(DOA)估计。该方法利用MIMO雷达系统的特点,将接收到的数据转换为低维实数值。然后,通过重新加权l1范数最小化算法实现DOA估计。与l1-SVD和实值l1-SVD算法相比,该方法为不相关目标和相关目标提供了更好的角度估计性能。仿真结果验证了该方法的有效性和优势。

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