波形相关矩阵未知情况下单基地MIMO雷达中一种改进MUSIC的DOA估计算法
doi: 10.3724/SP.J.1146.2012.00437
An Improved MUSIC DOA Estimation Algorithm for Monostatic MIMO Radar without Knowledge of Waveforms Correlated Matrix
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摘要: 该文研究了波形相关矩阵未知情况下多输入多输出(MIMO)雷达中的角度估计问题，提出了一种单基地MIMO雷达中改进多重信号分类(MUSIC)的到达角(DOA )估计算法。该算法可以在波形相关矩阵未知的情况下工作且性能优于传统的传播算子(PM)和借助旋转不变技术估计信号参数(ESPRIT)算法以及基于接收信号重构的MUSIC算法。该文算法可以扩展到任意阵列结构的MIMO雷达中进行角度估计。该文还给出了单基地MIMO雷达中DOA估计的克拉美罗界(CRB)。仿真结果验证了该算法的有效性。Abstract: The issue of angle estimation in Multiple-Input Multiple-Output (MIMO) radar is discussed without knowledge of waveforms correlated matrix, and an improved MUltiple SIgnal Classification (MUSIC) algorithm is proposed for Direction Of Arrival (DOA) estimation in monostatic MIMO radar. The proposed algorithm does not require the knowledge of transmit waveforms correlated matrix, and has better angle estimation performance than the conventional Propagator Method (PM), Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm, and MUSIC based on reconstruction of output signal. And the algorithm can be used in MIMO radar with any array construction for angle estimation, and the Cramr-Rao Bound (CRB) in monostatic MIMO radar is derived. The simulation results demonstrate the effectiveness of the proposed approach.
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Key words:
- Radar /
- Waveforms correlated matrix /
- Improved MUSIC /
- DOA estimation
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