Paper Info
Title
Analysis On The Performance Of Several Data Association Algorithms Using Doppler Information
Abstract
Concerning the multi-target tracking problems of multiple-frequency CW radar system, several improved Bayes algorithms by using target radial velocity information are proposed in this paper. In order to clearly figure out the differences in the tracking performances, including the tracking precision and the real-time quality, of these improved and conventional algorithms, the detailed analysis on the performances of these algorithms in the same conditions are presented. First, the association method of each algorithm is described briefly. Then, the tracking model is established. Finally, the simulations obtained from a typical way of multi-target tracking are used, and the tracking performance of these algorithms is analyzed comprehensively in all aspects according to the simulation results.
Year
Venue
Keywords
2017
2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)
multi-target tracking, JPDA, JIPDA, IJPDA, radial velocity, multiple-frequency CW radar
Field
DocType
Citations 
Radar tracker,Radial velocity,Clutter,Computer science,Radar systems,Algorithm,Data association,Probabilistic logic,Doppler effect,Bayes' theorem
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Qiang Wei113330.22
Qihong Yang200.68
Zhong Liu314826.70