ScholarLens Back to search
2009•Unpublished venueRequires access

Error Analysis of Direction Finding for Wide Band Signals Using MUSIC Algorithm

Xianzhong Liu, Bing Deng, Deqiang Yin

Open publisher page 0 citations

Abstract

This paper aims at studying the upper-limit of band width about the narrow-band hypothesis of space spectrum estimation algorithm by simulation analysis. The algorithm of multiple signal classification (MUSIC) in subspace is used as the object of analysis; and the narrow-band hypothesis is analyzed in the short-wave band with a linear array of seven sensors. The simulations indicate that using the MUSIC algorithm can be used to design direction finding experiment system of short-wave communication with smaller memory and lower computation load, which prompt the real-time response and high resolution.

About this research paper

What this paper is about

This paper aims at studying the upper-limit of band width about the narrow-band hypothesis of space spectrum estimation algorithm by simulation analysis. The algorithm of multiple signal classification (MUSIC) in subspace is used as the object of analysis; and the narrow-band hypothesis is analyzed in the short-wave band with a linear array of seven sensors. The simulations indicate that using the MUSIC algorithm can be used to design direction finding experiment system of short-wave communication with smaller memory and lower computation load, which prompt the real-time response and high resolution.

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

This paper aims at studying the upper-limit of band width about the narrow-band hypothesis of space spectrum estimation algorithm by simulation analysis. The algorithm of multiple signal classification (MUSIC) in subspace is used as the object of analysis; and the narrow-band hypothesis is analyzed in the short-wave band with a linear array of seven sensors. The simulations indicate that using the MUSIC algorithm can be used to design direction finding experiment system of short-wave communication with smaller memory and lower computation load, which prompt the real-time response and high resolution.

Key concepts: Multiple signal classification, Direction finding, Subspace topology, Algorithm, Computer science, Computation, Signal subspace, Limit (mathematics)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Error Analysis of Direction Finding for Wide Band Signals Using MUSIC Algorithm — Research Paper | ScholarLens