Adaptive target tracking in slowly changing clutter

被引:0
作者
Hanselmann, Thomas [1 ]
Musicki, Darko [1 ]
Palaniswami, Marimuthu [1 ]
机构
[1] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3010, Australia
来源
2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | 2006年
基金
澳大利亚研究理事会;
关键词
optimal signal detection probability; tracking; IPDA; track existence; false track discrimination; probability of detection feedback; CFAR;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
False track discrimination performance of a target tracking algorithm in a heavy clutter environment depends on the track confirmation and the track termination thresholds. The optimum value of these thresholds depends on the environment, in particular on the given probability of detection and on the existing clutter density. When tracking ground targets the probability of target detection is nominally constant, whereas the clutter measurement density varies significantly. Previously it was shown that, for a wide range of target signal to noise (+clutter) ratio in a uniform clutter density environment, and given the opportunity to set signal detection thresholds, the optimum value of clutter measurement density is almost constant (and the probability of detection will vary). We propose a scheme where the feedback from the target tracking system corrects the detection thresholds for each sensor resolution cell to obtain the constant and optimal clutter measurement density in, each cell, when the clutter statistics changes slowly. This results in better false track discrimination capabilities of the tracker and also replaces the CFAR block in the signal processing unit.
引用
收藏
页码:294 / 301
页数:8
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