Wang Qing, Zhu Xiaotian, Chen Hua, Wang Laihua, Yan Weiqing, Fang Haoyu
School of Electrical Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
Sensors (Basel). 2017 Jun 2;17(6):1269. doi: 10.3390/s17061269.
In this paper, a novel two-dimensional (2D) direction-of-arrival (DOA) estimation algorithm for the mixed circular and strictly noncircular sources is proposed. A general array model with a mixture of signals is firstly built based on uniform rectangular arrays (URAs), and then, the approach, which uses the rank-reduction-based ROOT-MUSIC, can solve 2D DOA estimation problem. Besides, the theoretical error of the proposed algorithm, a criterion of the performance for evaluation, is analyzed by the first-order Taylor expression using second-order statistics. As verified by the simulation results, a better DOA estimation performance and a lower computational complexity are achieved by the proposed algorithm than the existing methods resorting to the noncircularity of the incoming signals.
本文提出了一种针对混合循环和严格非循环源的新型二维（2D）到达方向（DOA）估计算法。首先基于均匀矩形阵列（URA）建立了一个包含混合信号的通用阵列模型，然后，使用基于秩缩减的ROOT-MUSIC方法能够解决二维DOA估计问题。此外，利用二阶统计量通过一阶泰勒表达式分析了所提算法的理论误差，这是一种用于评估性能的准则。仿真结果验证，与现有利用入射信号非循环性的方法相比，所提算法具有更好的DOA估计性能和更低的计算复杂度。
