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Dynamic programming based track before detect (DP-TBD) is a batch processing method. It exploits the space-time correlation among several consecutive frames of measurements and jointly processes all the measurements in these frames. Due to this batch processing manner, DP-TBD suffers heavy computational load since it involves processing a large volume of data. Moreover, in order to track long continuous...
This paper addresses the tracking problem using the short state sequences in time series (which is called plot-sequences in this paper) obtained from multi-frame track-before-detect (TBD). Some TBD methods, e.g., dynamic programming (DP), maximum likelihood probabilistic data association (ML-PDA), histogram probabilistic multihypothesis tracker (H-PMHT) and Hough transform (HT) based TBD, are batch...
Dynamic programming based track before detect (DP-TBD) is a batch processing method, which jointly processes number K of consecutive frames of measurements to improve the detection performance of dim targets. Due to its batch processing manner, sliding window (SW) processing is usually required to track long continuous time target trajectories, e.g., radar tracking. Every time when a new measurement...
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