Penalty Dynamic Programming Algorithm for Dim Targets Detection in Sensor Systems

Sensors

Dayu Huang¹  Anke Xue¹ 

[1] School of Information Science & Engineering, East China University of Science & Technology, Shanghai 200237, China

关键词: track-before-detect;    sensor systems;    signal-to-noise-ratio;    dynamic programming;    maneuvering;    multi-target tracking;    feedback;   

DOI  :  10.3390/s120405028

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.