Real-time passive source localization: A practical linear-correction least-squares approach

被引：340

作者：

Huang, YT ^{[1
]}

Benesty, J ^{[1
]}

Elko, GW ^{[1
]}

Mersereau, RM ^{[1
]}

机构：

[1] Bell Labs, Lucent Technol, Murray Hill, NJ 07974 USA

来源：

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING | 2001年 / 9卷 / 08期

关键词：

estimation theory; Lagrange multiplier; least squares; measurement error; real-time implementation; source localization;

D O I：

10.1109/89.966097

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

A linear-correction least-squares estimation procedure is proposed for the source localization problem under an additive measurement error model. The method, which can be easily implemented in a real-time system with moderate computational complexity, yields an efficient source location estimator without assuming a priori knowledge of noise distribution. Alternative existing estimators, including likelihood-based, spherical intersection, spherical interpolation, and quadratic-correction least-squares estimators, are reviewed and comparisons of their complexity, estimation consistency and efficiency against the Cramer-Rao lower bound are made. Numerical studies demonstrate that the proposed estimator performs better under many practical situations.

引用

页码：943 / 956

页数：14

共 20 条

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