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• W2065758047 abstract "This paper presents a novel method for tracking ground moving targets with a GMTI radar. To avoid detectionby the GMTI radar, targets can deliberately stop for some time before moving again. The GMTI radar does notdetect a target when the radial velocity (along the line-of-sight from the sensor) falls below a certain minimumdetectable velocity (MDV). We develop a new approach by using state-dependent mode transition probabilitiesto track move-stop-move targets. Since in a real scenario, the maximum deceleration is always limited, a targetcan not switch to the stopped-target model from a high speed. Therefore, with the use of the stopped-targetmodel, the Markov chain of the mode switching has jump probabilities that depend on the target's kinematicstate. A mode transition matrix with zero jump probabilities to the stopped-target mode is used when the speedis above a certain stopping limit (above which the target cannot stop in one sampling interval, designated asfast stage) and another transition matrix with non-zero jump probabilities to the stopped-target mode is usedwhen the speed is below this limit (designated as slow stage). The stage probabilities are calculated using thekinematic state statistics from the IMM estimator and then used to combine the state-dependent mode transitionprobabilities (SDP) in the two different transition matrices. The experimental results show that the proposedalgorithm outperforms previous methods." @default.
• W2065758047 created "2016-06-24" @default.
• W2065758047 creator A5044127482 @default.
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• W2065758047 date "2009-08-20" @default.
• W2065758047 modified "2023-09-23" @default.
• W2065758047 title "Tracking move-stop-move targets with state-dependent mode transition probabilities" @default.
• W2065758047 doi "https://doi.org/10.1117/12.832316" @default.
• W2065758047 hasPublicationYear "2009" @default.
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