ScholarLens Back to search
2011•Electronic Science and TechnologyRequires access

An Improved MUSIC Algorithm for Estimating DOA of Coherent Signals Sources

He Weigang

Open publisher page 1 citations

Abstract

A new improved MUSIC algorithm for the estimation of the Direction-of Arrival of coherent signals sources is presented.After Eigen-value decomposing the receive data signal of coherence signals,the relationships between the signal subspace and the signal steering vector is used to achieve DOA effective estimation through searching the multidimensional wave peak.Compared with the traditional spatial smoothing algorithm,the IMUSIC has the following advantagesThe simulation results show the proposed IMUSIC algorithm is effective.

About this research paper

What this paper is about

A new improved MUSIC algorithm for the estimation of the Direction-of Arrival of coherent signals sources is presented.After Eigen-value decomposing the receive data signal of coherence signals,the relationships between the signal subspace and the signal steering vector is used to achieve DOA effective estimation through searching the multidimensional wave peak.Compared with the traditional spatial smoothing algorithm,the IMUSIC has the following advantagesThe simulation results show the proposed IMUSIC algorithm is effective.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A new improved MUSIC algorithm for the estimation of the Direction-of Arrival of coherent signals sources is presented.After Eigen-value decomposing the receive data signal of coherence signals,the relationships between the signal subspace and the signal steering vector is used to achieve DOA effective estimation through searching the multidimensional wave peak.Compared with the traditional spatial smoothing algorithm,the IMUSIC has the following advantagesThe simulation results show the proposed IMUSIC algorithm is effective.

Key concepts: Multiple signal classification, Smoothing, Signal subspace, Algorithm, Direction of arrival, SIGNAL (programming language), Computer science, Subspace topology

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
An Improved MUSIC Algorithm for Estimating DOA of Coherent Signals Sources — Research Paper | ScholarLens