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A new approach for target motion analysis with signal time delay |
Xue An-Ke, Guo Yun-Fei |
Institute of Intelligence Information and Control Technology, Hangzhou Dianzi University, Hangzhou 310018, China; School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China |
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Abstract A new approach is proposed in this paper for the problem of the target motion analysis (TMA) with signal propagation time delay. This problem is an unobservable tracking problem in which the acoustic signal transmits with time delay. We present an intelligent range parameterized unscented Kalman filter (IRPUKF) algorithm to estimate the state of the nonlinear unobservable tracking system and propose a recursive model parameter online adjustment method to deal with the time delay in signal propagation. In a simulation of tracking target using a maneuvering acoustic sensor with signal time delay case study, the effectiveness and efficiency of the proposed algorithm is testified to perform better, compared with the range parameterized extended Kalman filter (RPEKF) algorithm.
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Received: 02 March 2006
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