Accurate three-step algorithm for joint source position and propagation speed estimation

Authors:
Jun Zheng;Kenneth W. K. Lui;H. C. So
Affiliations:
Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China;Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China;Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China
Venue:
Signal Processing
Year:
2007

Citing 3
Cited 1

Fundamentals of statistical signal processing: estimation theory

Fundamentals of statistical signal processing: estimation theory
Direct joint source localization and propagation speed estimation

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
A constrained least squares approach to mobile positioning: algorithms and optimality

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Semi-definite programming algorithms for sensor network node localization with uncertainties in anchor positions and/or propagation speed

IEEE Transactions on Signal Processing

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Abstract

A popular strategy for source localization is to utilize the measured differences in arrival times of the source signal at multiple pairs of receivers. Most of the time-difference-of-arrival (TDOA) based algorithms in the literature assume that the signal transmission speed is known which is valid for in-air propagation. However, for in-solid scenarios such as seismic and tangible acoustic interface applications, the signal propagation speed is unknown. In this paper, we exploit the ideas in the two-step weighted least squares method [ 1] to design a three-step algorithm for joint source position and propagation speed estimation. Simulation results are included to contrast the proposed estimator with the linear least squares scheme as well as Cramér-Rao lower bound.