DOA estimation of vector sensor arrays based on sparse signal power iterative compensation
WANG Weidong1, ZHANG Qunfei1, SHI Wentao1, TAN Weijie1, WANG Xuhu2
1.School of Marine Science and Technology, Northwestern Polytechnic University, Xi’an 710072, China;
2.School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
摘要针对现有稀疏信号功率迭代算法对方位相近目标分辨概率与估计精度较低问题，提出了一种稀疏信号功率迭代补偿的矢量传感器阵列波达方向(Direction of Arrival, DOA)估计方法。首先，基于稀疏信号补偿原理和加权协方差矩阵拟合准则，构建了关于稀疏信号功率与补偿权重的目标函数。其次，推导了稀疏信号功率迭代更新表达式的闭式解。最后，通过对稀疏信号功率进行谱峰搜索获得DOA估计值。理论分析表明，所提算法通过对离散网格点上的信号功率进行补偿提高了方位相近目标的分辨率概率与估计精度。仿真结果表明，相较于经典子空间算法与现有稀疏功率迭代算法，所提算法对方位相近目标具有较高的分辨概率与估计精度。
Abstract：Aim to low resolution probability and estimation accuracy for close space targets of the existing sparse signal power iteration algorithms, a sparse signal power iteration compensation method is proposed to estimate direction of arrival (DOA) via vector sensor arrays. Firstly, based on the principle of sparse signal compensation and the fitting criterion weighted covariance matrix, the objective function including sparse signal power and compensation weight is constructed. Secondly, the closed-form solution of sparse signal power iteration renewal expression is derived. Finally, DOA estimation is obtained by searching the spectral peaks of sparse signal power. The theoretical analysis shows that the proposed algorithm improves the resolution probability and estimation accuracy for close space targets by compensating the signal power at discrete grid points. Simulation results show that, compared with the classical subspace algorithm and the existing sparse power iteration algorithm, the proposed algorithm improves the resolution probability and estimation accuracy for close space targets.
王伟东1，张群飞1，史文涛1，谭伟杰1，王绪虎2. 基于稀疏信号功率迭代补偿的矢量传感器阵列DOA估计[J]. 振动与冲击, 2020, 39(15): 48-57.
WANG Weidong1, ZHANG Qunfei1, SHI Wentao1, TAN Weijie1, WANG Xuhu2. DOA estimation of vector sensor arrays based on sparse signal power iterative compensation. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(15): 48-57.
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