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Proceedings Paper

Approximate MLE algorithm for source localization based on TDOA measurements
Author(s): Guoxiang Gu
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Paper Abstract

Source localization is investigated based on noisy measurements of TDOA (time-difference of arrival) in which the measurement noises are assumed to be Gauss distributed. The solution to the constrained WLS (weighted leastsquares) is derived and applied to the source localization problem based on TDOAs. The proposed algorithm is shown to be an approximate MLE (maximum likelihood estimation) algorithm under some mild condition. The simulation results show that the proposed approximate MLE algorithm compares favorably with the existing solution methods for source localization based on TDOA measurements.

Paper Details

Date Published: 3 May 2007
PDF: 9 pages
Proc. SPIE 6577, Wireless Sensing and Processing II, 657707 (3 May 2007); doi: 10.1117/12.719865
Show Author Affiliations
Guoxiang Gu, Louisiana State Univ. (United States)

Published in SPIE Proceedings Vol. 6577:
Wireless Sensing and Processing II
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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