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| Multiple Model Particle Filter Based Track-before-Detect for Maneuvering Weak Target |
| Gong Ya-xin; Yang Hong-wen; Hu Wei-dong; Yu Wen-xian |
| ATR State Key Lab., National University of Defense Technology, Changsha 410073, China |
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Abstract Track-Before-Detect(TBD) is an efficient approach which detects and tracks targets in low SNR environment. A multiple model particle filter algorithm is presented in this paper for the maneuvering weak target which dynamics is complicated. In this algorithm a variable which denotes whether the target is existent or not and a variable which denotes the dynamics model of the target are augmented. The hybrid filter which includes two discrete variables is implemented by particle filter. Simulation results show that this algorithm can efficiently detect and track maneuvering targets on the condition of low SNR which the classical tracking methods can not work normally.
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Received: 10 October 2006
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2008, Vol. 30 
