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GI
2009
Springer

Gaussian Mixture (GM) Passive Localization using Time Difference of Arrival (TDOA)

9 years 4 months ago
Gaussian Mixture (GM) Passive Localization using Time Difference of Arrival (TDOA)
: This paper describes the passive emitter localization using Time Difference of Arrival (TDOA) measurements. It investigates various methods for estimating the solution of this nonlinear problem: the Maximum Likelihood Estimation (ML) as a batch algorithm, the Extended Kalman Filter (EKF) as an analytical approximation, the Unscented Kalman Filter (UKF) as a deterministic sampling approach and finally the Gaussian Sum Approximation (Gaussian Mixture, GM). Different scenarios are investigated in terms of estimation accuracy, described by the Cram
Regina Kaune
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where GI
Authors Regina Kaune
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