2007Journal of Chongqing Institute of TechnologyRequires access

Research of Several Algorithim of DOA Estimation

Xiujuan Gao

Open publisher page 0 citations

Abstract

The estimation of the direct of arrival(DOA) is one of the key technologies in smart antenna.By discussing delay-and-sum algorithm,Capon algorithm and Music algorithm of DOA estimation,then carrying out simulations for these three algorithms under the same conditions,the simulation results prove that the multiple signal classification algorithm is best.

About this research paper

What this paper is about

The estimation of the direct of arrival(DOA) is one of the key technologies in smart antenna.By discussing delay-and-sum algorithm,Capon algorithm and Music algorithm of DOA estimation,then carrying out simulations for these three algorithms under the same conditions,the simulation results prove that the multiple signal classification algorithm is best.

Why it matters

A significance statement is not available in the OpenAlex record.

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

The estimation of the direct of arrival(DOA) is one of the key technologies in smart antenna.By discussing delay-and-sum algorithm,Capon algorithm and Music algorithm of DOA estimation,then carrying out simulations for these three algorithms under the same conditions,the simulation results prove that the multiple signal classification algorithm is best.

Key concepts: Capon, Key (lock), Estimation, Direction of arrival, Algorithm, Computer science, Smart antenna, SIGNAL (programming language)

Related papers

Back to paper searchBrowse research topicsOriginal source
Research of Several Algorithim of DOA Estimation — Research Paper | ScholarLens