Multitarget Detection and Estimation Based on Passive Multilateral TDOAs of Transient Signals

摘要

Recently, a Modified Deterministic Annealing Expectation Maximization (MDAEM) algorithm has been proposed [D. Carevic, “Automatic estimation of multiple target positions and velocities using passive TDOA measurements of transients,” IEEE Transactions on Signal Processing, vol. 55, no. 2, pp. 424–436, 2007] for the estimation of the motion parameters of multiple targets moving in cluttered three-dimensional (3-D) underwater environments. In many situations, the number of targets in the measurements batch is not known, and the MDAEM algorithm is run for an inexact (guessed) number of the motion models, where, usually, the guessed number of models is larger than the true number of targets. This correspondence describes a detection procedure that determines which of the motion models estimated by the algorithm are related to the true targets in the measurements batch.