基于平行嵌套阵互协方差的二维波达角联合估计算法

李建峰; 蒋德富; 沈明威

doi:10.11999/JEIT160488

基于平行嵌套阵互协方差的二维波达角联合估计算法

doi: 10.11999/JEIT160488

基金项目:

中央高校基本科研业务费专项资金(2015B12614)，江苏高校优势学科建设工程

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- 被引次数: 0
出版历程
- 收稿日期: 2016-05-12
- 修回日期: 2016-09-06
- 刊出日期: 2017-03-19

Joint Two-dimensional Direction of Arrival Estimation Based on Cross Covariance Matrix of Parallel Nested Array

Funds:

The Fundamental Research Funds for the Central Universities (2015B12614), A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions

摘要

摘要: 论文提出基于平行嵌套阵互协方差的2维(Two Dimensional, 2D)波达角(Direction Of Arrival, DOA)联合估计算法。算法基于两个互相平行的嵌套阵的互协方差生成较长虚拟阵列，同时将2维DOA估计问题降维为1维 DOA估计问题。在构造协方差矩阵时，利用方向矩阵范德蒙特性增加虚拟快拍数，保证了孔径的最小损失。最后算法基于酉旋转不变技术(Estimation of Signal Parameters via Rotational Invariance Technique, ESPRIT)和总体最小二乘(Total Least Squares, TLS)方法进一步降低噪声影响，并获得了自动配对的2维DOA估计。相比传统平行阵下的DOA估计算法，该算法拥有更好的DOA估计性能，能辨识更多的空间信源，对空间色噪声有更强的鲁棒性。仿真结果验证了算法的有效性。
- 2维DOA估计 /
- 酉ESPRIT /
- 平行嵌套阵 /
- 互协方差
Abstract: A Cross Covariance Matrix (CCM) based Two Dimensional (2D) Direction Of Arrival (DOA) estimation algorithm for parallel nested array is proposed. A long virtual array can be achieved based on the CCM between the two parallel nested arrays, and 2D DOA estimation can be transformed to a 1D DOA estimation problem. Thereafter, virtual snapshots are increased by exploiting the Vandermonde structure of direction matrix, and the aperture loss is minimized when constructing covariance matrix from the virtual array. Finally, the proposed algorithm employs unitary Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) and Total Least Squares (TLS) to reduce further the influence of noise and achieve automatically paired 2D DOA estimation. Compared to DOA estimation algorithms using conventional parallel array, the proposed algorithm can achieve better DOA estimation performance, identify more signals and is more robust to spatial color noise. The simulation results verify the effectiveness of the proposed algorithm.
- Two dimensional DOA estimation /
- Unitary ESPRIT /
- Parallel nested array /
- Cross covariance matrix

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参考文献(28)

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