Title
Real-Time Passive Source Localization: A Practical Linear-Correction Least-Squares Approach
Abstract
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.
Year
DOI
Venue
2001
10.1109/89.966097
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
Keywords
Field
DocType
estimation theory, Lagrange multiplier, least squares, measurement error, real-time implementation, source localization
Least squares,Errors-in-variables models,Computer science,Interpolation,Artificial intelligence,Cramér–Rao bound,Mathematical optimization,Pattern recognition,Iterative method,Algorithm,Error detection and correction,Computational complexity theory,Estimator
Journal
Volume
Issue
ISSN
9
8
1063-6676
Citations 
PageRank 
References 
159
13.50
9
Authors
4
Search Limit
100159
Name
Order
Citations
PageRank
Yiteng Huang1123998.26
Jacob Benesty21941146.01
G. W. Elko322228.29
R. M. Mersereati415913.50