基于秩减估计器的L型阵列二维波达角估计算法

魏子翔; 崔嵬; 侯建刚; 吴嗣亮

doi:10.11999/JEIT141538

基于秩减估计器的L型阵列二维波达角估计算法

doi: 10.11999/JEIT141538

基金项目:

上海航天科技基金(SAST201215)和新世纪优秀人才支持计划(NCET-13-0034)

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出版历程
- 收稿日期: 2014-12-04
- 修回日期: 2015-03-23
- 刊出日期: 2015-08-19

Rank Reduction Estimator Based Algorithm for Estimating 2D-DOA with L-shaped Array

摘要

摘要: 针对L型阵列2维波达角(2D-DOA)估计问题，该文提出了一种新的基于秩减估计器的算法。该算法利用辅助角将2D-DOA估计问题转换为两个级联的1D-DOA估计问题：首先采用基于传播算子的秩减估计器获得高精度的辅助角估计；其次利用辅助角估计结果获得某一入射角的一元代价函数，借鉴root-MUSIC算法通过对多项式求根获得某一入射角估计，而另一入射角估计可由已得角度估计和辅助角估计通过简单转换获得且两入射角之间无需配对。运算量分析表明，该算法运算量与JEADE算法接近，大于CODE和root-MUSIC算法。仿真实验验证了该算法在不同信噪比、快拍数目条件下可获得高精度的DOA估计结果。
- 信号处理 /
- L型阵列 /
- 2维波达角 /
- 秩减估计器 /
- 传播算子算法
Abstract: A novel algorithm is proposed for Two-Dimensional (2D) Direction Of Arrival (DOA) estimation issue with L-shaped array. By introducing an auxiliary electrical angle, 2D-DOA estimation problem is solved by two-step 1D-DOA estimation. Firstly auxiliary electrical angle estimation is given by a propagator based RAnk Reduction Estimator (RARE). Then a cost function about one incident angle is obtained, and the incident angle estimation is given by K zeros of polynomial relating to the cost function. Finally, The other incident angle estimation is given by simple algebraic operation between the obtained auxiliary electrical angle and incident angle estimations. Computational burden analysis is given in this paper. It is shown that the proposed algorithm has a roughly same computational burden with JEADE algorithm, while both of them has larger burden than CODE and root-MUSIC algorithms. Further, the Root-Mean-Square-Error (RMSE) expressions of the incident angle estimates are derived to validate the performance of the proposed algorithm.
- Signal processing /
- L-shaped array /
- Two-Dimensional Direction Of Arrival (2D-DOA) /
- RAnk Reduction Estimator (RARE) /
- Propagator Method (PM)

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