DocumentCode :
2845666
Title :
Performance evaluation of multiple-target tracking systems
Author :
Feng, Yang ; Yan, Liang ; Liang, Ye ; Quan, Pan
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
2923
Lastpage :
2927
Abstract :
To evaluate the performance of real multiple-target tracking systems, instead of their simulative systems, the signal origin of each track should be determined in the different form because the data association in real systems is absolutely unknown. In addition, the calculation of performance indices should be suitable for the case of variable sampling interval. Here the state estimate of each track is projected into measurement space and the statistical distance between this projection and each simultaneous measurement is calculated. Hence the signal origin of that track can be determined via the rule of Nearest Neighbor. Based on the relationship matrix with respect to track and signal origin, a new method to calculate a suit of performance indices for both TAS and TWS modes is proposed. This method has been adopted in our TrackEnviro - a evaluation system for the multiple-target tracking performance of real phased array radar.
Keywords :
learning (artificial intelligence); pattern classification; phased array radar; signal sampling; target tracking; TrackEnviro; data association; measurement space; nearest neighbor; performance evaluation; real multiple-target tracking systems; real phased array radar; simulative systems; statistical distance; variable sampling interval; Automation; Nearest neighbor searches; Phased arrays; Radar tracking; Sampling methods; State estimation; Target tracking; Evaluation Systems; Multiple Target Tracking; Performance Evaluation; Phased Array Radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498697
Filename :
5498697
Link To Document :
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