3 May 2007 Approximate MLE algorithm for source localization based on TDOA measurements
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Proceedings Volume 6577, Wireless Sensing and Processing II; 657707 (2007); doi: 10.1117/12.719865
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States
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.
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Guoxiang Gu, "Approximate MLE algorithm for source localization based on TDOA measurements", Proc. SPIE 6577, Wireless Sensing and Processing II, 657707 (3 May 2007); doi: 10.1117/12.719865; https://doi.org/10.1117/12.719865
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Source localization

Sensors

Error analysis

Chemical elements

Computer simulations

Data modeling

Matrices

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