ScholarLens Back to search
2004•Unpublished venueRequires access

On decorrelation performance of weighted spatial smoothing [uniform linear sensor array examples]

Wang Bu-hong

Open publisher page 0 citations

Abstract

The decorrelation performance of a weighted spatial smoothing (WSS) technique is explored in this paper. The comparison between the WSS and the conventional spatial smoothing (SS) is made with respect to the condition number of the smoothed source covariance matrix and the variance of the DOA estimates of the smoothed MUSIC spectrum. Numerical results are presented to demonstrate that the decorrelation performance of the WSS preprocessor significantly outperforms the conventional SS preprocessor.

About this research paper

What this paper is about

The decorrelation performance of a weighted spatial smoothing (WSS) technique is explored in this paper. The comparison between the WSS and the conventional spatial smoothing (SS) is made with respect to the condition number of the smoothed source covariance matrix and the variance of the DOA estimates of the smoothed MUSIC spectrum. Numerical results are presented to demonstrate that the decorrelation performance of the WSS preprocessor significantly outperforms the conventional SS preprocessor.

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 decorrelation performance of a weighted spatial smoothing (WSS) technique is explored in this paper. The comparison between the WSS and the conventional spatial smoothing (SS) is made with respect to the condition number of the smoothed source covariance matrix and the variance of the DOA estimates of the smoothed MUSIC spectrum. Numerical results are presented to demonstrate that the decorrelation performance of the WSS preprocessor significantly outperforms the conventional SS preprocessor.

Key concepts: Decorrelation, Smoothing, Preprocessor, Covariance matrix, Computer science, Algorithm, Covariance, Mathematics

Related papers

Related paper 1Related paper 2
Back to paper searchBrowse research topicsOriginal source
On decorrelation performance of weighted spatial smoothing [uniform linear sensor array examples] — Research Paper | ScholarLens