Multitarget Tracking with Doppler Ambiguity

A new approach for multitarget detection and tracking with Doppler ambiguity is presented. Ambiguous Doppler measurements, in addition to the position measurements, are directly used in data association and tracking. Based on the unscented Kalman filter (UKF), the multiple hypothesis tracking (MHT)...

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Vydáno v:IEEE transactions on aerospace and electronic systems Ročník 49; číslo 4; s. 2640 - 2656
Hlavní autoři: Li, K., Habtemariam, B., Tharmarasa, R., Pelletier, M., Kirubarjan, T.
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.10.2013
Témata:
Doppler effect
Doppler measurement
Doppler radar
Position measurement
Radar tracking
Target tracking
ISSN:0018-9251
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Shrnutí:A new approach for multitarget detection and tracking with Doppler ambiguity is presented. Ambiguous Doppler measurements, in addition to the position measurements, are directly used in data association and tracking. Based on the unscented Kalman filter (UKF), the multiple hypothesis tracking (MHT) algorithm and the probabilistic data association (PDA) algorithm, three different methods for solving the ambiguity, independent of the choice of particular pulse repetition frequency (PRF) values, in the tracking level are proposed. First, the UKF is modified to handle explicitly the ambiguous Doppler measurement. It is shown that the modified UKF can achieve better tracking performance than the standard UKF. On the other hand, the MHT and PDA algorithms, both of which are usually used to solve the measurement-to-track association problem, are modified here to handle the Doppler ambiguity problem. Simulations are performed to demonstrate the effectiveness of the new algorithms.
ISSN:0018-9251
DOI:10.1109/TAES.2013.6621842