This paper presents a Bayesian algorithm for joint detection and tracking in a multitarget setting. Raw measurements are processed using the track-before-detect (TBD) framework. We first establish a Bayesian recursion, which propagates a probability of target existence along with a target state probability density per delay/Doppler bin. In order to handle the nonlinearity of the observation model obtained for orthogonal frequency division multiplexing (OFDM)-based passive radar, a suitable Gaussian mixture implementation is proposed.
Recursive Bayesian Filtering for Multitarget Track-Before-Detect in Passive Radars
IEEE Transactions on Aerospace and Electronic Systems ; 48 , 3 ; 2458-2480
2012-07-01
3363765 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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