Computationally efficient DOA estimation in a multipath environment using covariance differencing and iterative spatial smoothing

被引：13

作者：

Al-Ardi, EM ^{[1
]}

Shubair, RM ^{[1
]}

Al-Mualla, ME ^{[1
]}

机构：

[1] Etisalat Coll Engn, Sharjah, U Arab Emirates

来源：

2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS | 2005年

关键词：

D O I：

10.1109/ISCAS.2005.1465459

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

High-resolution signal processing using sensor arrays to estimate the directions of unknown correlated signals in multipath environments is associated with high computational complexity. This paper proposes a computationally efficient Direction of Arrival (DOA) estimation algorithm. The algorithm is based on two stages of detection: a first stage for discriminating uncorrelated signals, and a second stage for resolving the directions of arrival of correlated signals using covariance differencing and iterative spatial smoothing. Simulation results show that the proposed algorithm operates at a much lower computational cost compared to standard methods.

引用

页码：3805 / 3808

页数：4

共 7 条

[1] Computationally efficient high-resolution DOA estimation in multipath environment [J].