Penalty Dynamic Programming Algorithm for Dim Targets Detection in Sensor Systems

Clicks: 361
ID: 113486
2012
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Abstract
In order to detect and track multiple maneuvering dim targets in sensor systems, an improved dynamic programming track-before-detect algorithm (DP-TBD) called penalty DP-TBD (PDP-TBD) is proposed. The performances of tracking techniques are used as a feedback to the detection part. The feedback is constructed by a penalty term in the merit function, and the penalty term is a function of the possible target state estimation, which can be obtained by the tracking methods. With this feedback, the algorithm combines traditional tracking techniques with DP-TBD and it can be applied to simultaneously detect and track maneuvering dim targets. Meanwhile, a reasonable constraint that a sensor measurement can originate from one target or clutter is proposed to minimize track separation. Thus, the algorithm can be used in the multi-target situation with unknown target numbers. The efficiency and advantages of PDP-TBD compared with two existing methods are demonstrated by several simulations.
Reference Key
huang2012sensorspenalty Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dayu Huang;Anke Xue;Yunfei Guo;Huang, Dayu;Xue, Anke;Guo, Yunfei;
Journal sensors
Year 2012
DOI
10.3390/s120405028
URL
https://www.mdpi.com/1424-8220/12/4/5028
Keywords
feedback dynamic programming track-before-detect sensor systems signal-to-noise-ratio maneuvering multi-target tracking

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