基于特征向量空间聚焦的宽带DOA估计方法

doi:10.12305/j.issn.1001-506X.2021.02.02

摘要/Abstract

摘要：

针对传统宽带阵列信号波达方向(direction of arrival, DOA)估计方法中由入射角预估带来的DOA估计偏差及其在多径效应等环境下的应用问题,提出基于特征向量空间聚焦的宽带阵列DOA估计方法。首先,考虑多径干扰等对DOA估计算法的影响,对接收信号自相关矩阵进行平滑处理。然后，以平滑自相关矩阵特征向量空间过渡性为基础,构造聚焦矩阵,并证明其完美聚焦性。理论分析及仿真结果表明,该方法无需对入射信号角度值进行预估,有效避免了聚焦误差,算法复杂度较低,提高了估计精度及效率。

关键词: 波达方向估计, 宽带阵列, 多径效应, 特征向量空间, 完美聚焦

Abstract:

In order to solve the problem of the direction of arrival (DOA) estimation error caused by the angle of incidence estimation in the traditional DOA estimation method of broadband array signal and its application in the environment of multipath effect, a DOA estimation method of broadband array signals based on eigenvector space focusing is proposed. Firstly, considering the influence of multipath interference on the DOA estimation algorithm, the autocorrelation matrix of the received signal is smoothed. Then, based on the transition of eigenvector space of the smooth autocorrelation matrix, the focusing matrix is constructed and its perfect focusing property is proved. Theoretical analysis and simulation results show that the method does not need to estimate the angle value of the incident signal, effectively avoids the focusing error, has low complexity, and improves the estimation accuracy and efficiency.

Key words: direction of arrival (DOA) estimation, broadband array, multipath effect, eigenvector space, perfect focus

中图分类号:

TN911

曹司磊, 曾维贵, 胥辉旗. 基于特征向量空间聚焦的宽带DOA估计方法[J]. 系统工程与电子技术, 2021, 43(2): 294-299.

Silei CAO, Weigui ZENG, Huiqi XU. Broadband DOA estimation method based on eigenvector space focusing[J]. Systems Engineering and Electronics, 2021, 43(2): 294-299.

图/表 7

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算法	角距/(°)
算法	2	5	10	20
DEESF	4.15	7.71	13.55	21.84
TCT	0.82	1.46	1.94	2.78
文献[18]	2.38	4.22	6.90	9.39
DCF	2.24	3.02	5.17	7.08

算法	信源数
算法	2	3
DEESF	14.2	15.1
TCT	22	22.5
文献[18]	23.1	24.0
DCF	162	167.1

编号	方位/(°)	射频下限	射频上限	脉冲重复周期下限
1	-2.20	7.12	14.05	568.00
2	7.54	6.89	13.45	568.00

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