Least Squares‐Based Near‐Field Source Localisation With Enhanced Range Estimation

ABSTRACT This letter proposes a least squares‐based method for a single near‐field source localisation by jointly estimating bearing angle and range using a uniform linear array. To provide initial estimates in one step, the proposed method uses least squares formulation developed based on the observation that adjacent sensor pairs exhibit far‐field characteristics while the overall array has near‐field properties. To further enhance the performance of range estimation, we re‐estimate the range parameters by utilising geometric relationships. Consequently, the proposed method can provide improved localisation performance with reduced computational complexity. Simulation results demonstrate the superiority of the proposed method including the scheme of enhanced range estimation.

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Publication Details

Journal
Electronics Letters
Published
2025-01-01
DOI
https://doi.org/10.1049/ell2.70361
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Least Squares‐Based Near‐Field Source Localisation With Enhanced Range Estimation

Geunhwan Kim, Taejin Jung
Electronics Letters
Speech and Audio Processing
article

Least Squares‐Based Near‐Field Source Localisation With Enhanced Range Estimation

Geunhwan Kim, Taejin Jung
article en

Abstract

ABSTRACT This letter proposes a least squares‐based method for a single near‐field source localisation by jointly estimating bearing angle and range using a uniform linear array. To provide initial estimates in one step, the proposed method uses least squares formulation developed based on the observation that adjacent sensor pairs exhibit far‐field characteristics while the overall array has near‐field properties. To further enhance the performance of range estimation, we re‐estimate the range parameters by utilising geometric relationships. Consequently, the proposed method can provide improved localisation performance with reduced computational complexity. Simulation results demonstrate the superiority of the proposed method including the scheme of enhanced range estimation.

Electronics LettersVol. 61(1)
Changwon National University (KR), Nexen (Canada) (CA), Korea Maritime Institute (KR)
Changwon National University
Openalex Percentile: Top 80%
Speech and Audio Processing
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