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Recursive Bayesian Filtering for Multitarget Track-Before-Detect in Passive Radars

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1 Author(s)
Lehmann, F. ; Telecom SudParis, Paris, France

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.

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Aerospace and Electronic Systems, IEEE Transactions on  (Volume:48 ,  Issue: 3 )