Recursion subspace-based method for bearing estimation: A comparative study

Lei Huang; Siliang Wu; Erke Mao

Recursion subspace-based method for bearing estimation: A comparative study

Lei Huang^*
, Siliang Wu
, Erke Mao

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

In many practical applications of sensor array processing, accurate bearing estimation with low complexity is of significant interest. In this paper, we present a Recursion subspace-based method (RSM) to estimate the bearings of incident signals impinging on a Uniform linear array (ULA), and perform the comparison between the RSM method and the signal Subspace method without eigendecomposition (SUMWE). Numerical results are presented to compare the performance the RSM method with that of the SUMWE method.

Original language	English
Pages (from-to)	477-480
Number of pages	4
Journal	Chinese Journal of Electronics
Volume	19
Issue number	3
Publication status	Published - Jul 2010

Keywords

Bearing estimation
Eigendecomposition (ed)
Multistage wiener filter (mswf)

Cite this

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title = "Recursion subspace-based method for bearing estimation: A comparative study",

abstract = "In many practical applications of sensor array processing, accurate bearing estimation with low complexity is of significant interest. In this paper, we present a Recursion subspace-based method (RSM) to estimate the bearings of incident signals impinging on a Uniform linear array (ULA), and perform the comparison between the RSM method and the signal Subspace method without eigendecomposition (SUMWE). Numerical results are presented to compare the performance the RSM method with that of the SUMWE method.",

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AU - Huang, Lei

AU - Wu, Siliang

AU - Mao, Erke

PY - 2010/7

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N2 - In many practical applications of sensor array processing, accurate bearing estimation with low complexity is of significant interest. In this paper, we present a Recursion subspace-based method (RSM) to estimate the bearings of incident signals impinging on a Uniform linear array (ULA), and perform the comparison between the RSM method and the signal Subspace method without eigendecomposition (SUMWE). Numerical results are presented to compare the performance the RSM method with that of the SUMWE method.

AB - In many practical applications of sensor array processing, accurate bearing estimation with low complexity is of significant interest. In this paper, we present a Recursion subspace-based method (RSM) to estimate the bearings of incident signals impinging on a Uniform linear array (ULA), and perform the comparison between the RSM method and the signal Subspace method without eigendecomposition (SUMWE). Numerical results are presented to compare the performance the RSM method with that of the SUMWE method.

KW - Bearing estimation

KW - Eigendecomposition (ed)

KW - Multistage wiener filter (mswf)

UR - https://www.scopus.com/pages/publications/77955565130

M3 - Article

AN - SCOPUS:77955565130

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JO - Chinese Journal of Electronics

JF - Chinese Journal of Electronics

IS - 3

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Recursion subspace-based method for bearing estimation: A comparative study

Abstract

Keywords

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