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| Interacting Multiple Model Algorithm with Adaptive Markov Transition Probabilities |
| Luo Xiao-bing; Wang Hong-qiang; Li Xiang |
| ATR Key Laboratory, National University of Defense Technology, Changsha 410073, China |
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Abstract A estimator of the time-varying Markov state transition probabilities is presented , which is based on the measurements. Then the Parameter Adaptive Interacting Multiple Model (PAIMM) is designed by adopting the above estimator. In comparison with that of the conventional IMM algorithm , the tracking performance of PAIMM is better in the simulation of tracking a maneuvering target.
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Received: 08 May 2004
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2005, Vol. 27 
