2-D DOA estimation of multiple signals based on sparse L-shaped array

Zhi Zheng, Yuxuan Yang, Wen-qin Wang, Guangjun Li, Jiao Yang, Yan Ge
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引用次数: 4

Abstract

This paper proposes a novel method for two-dimensional (2-D) direction-of-arrival (DOA) estimation of multiple signals employing a sparse L-shaped array structured by a sparse linear array (SLA), a sparse uniform linear array (SULA) and an auxiliary sensor. In the proposed method, the elevation angles are estimated using the SLA and an improved MUSIC method. The azimuth angles are estimated by two stages. Firstly, the rough azimuth estimates are obtained by a cross-correlation matrix (CCM) of the array received data and the elevation estimates. Secondly, the fine azimuth estimates can be achieved using the SULA and the rough azimuth estimates. The proposed method can achieve automatic pairing of the 2-D DOA estimates. Simulation results show that our approach outperforms the existing methods based on L-shaped array.
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基于稀疏l形阵列的多信号二维DOA估计
本文提出了一种利用稀疏线性阵列(SLA)、稀疏均匀线性阵列(SULA)和辅助传感器组成的稀疏l形阵列对多个信号进行二维到达方向(DOA)估计的新方法。在该方法中,利用SLA和改进的MUSIC方法对俯仰角进行估计。方位角由两个阶段估计。首先,通过阵列接收数据与高程估计的互相关矩阵(CCM)得到粗略的方位角估计;其次,利用SULA和粗略方位角估计实现精细方位角估计。该方法可以实现二维DOA估计的自动配对。仿真结果表明,该方法优于现有的基于l型阵列的方法。
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