Two-dimensional noisy autoregressive estimation with application to joint frequency and direction of arrival estimation

被引：3

作者：

Amanat, Alireza ^{[1
]}

Mahmoudi, Alimorad ^{[1
]}

Hatam, Majid ^{[2
]}

机构：

[1] Shahid Chamran Univ Ahvaz, Dept Elect Engn, Fac Engn, Ahvaz, Iran

[2] Iranian Space Res Ctr, Inst Mech, Shiraz, Iran

来源：

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2018年 / 29卷 / 02期

关键词：

Two-dimensional noisy autoregressive model; Yule-Walker equations; Least-squares estimation; Spatial spectrum; PARAMETER-ESTIMATION;

D O I：

10.1007/s11045-017-0539-z

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The present study addresses the problem of two-dimensional autoregressive estimation in the presence of additive white noise. The estimation method is based on combining the low-order and high-order Yule-Walker equations. The noise-compensated YW equations are solved using an iterative algorithm. The proposed method is also applied to joint frequency and direction of arrival estimation in uniform linear arrays. Using simulation study, the performance of the proposed algorithm is evaluated and compared with other methods.

引用

页码：671 / 685

页数：15

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