DocumentCode
2111307
Title
A Viterbi data association algorithm based on adaptive clutter density model
Author
Wang Zengfu ; Pan Quan ; Liang Yan
Author_Institution
Northwestern Polytech. Univ., Xi´an, China
fYear
2010
fDate
29-31 July 2010
Firstpage
2818
Lastpage
2822
Abstract
There are many false tracks which are produced by large of non-uniform and non-stationary distributed false clutters in the OTHR target tracking. To solve this problem, an adaptive clutter model is introduced into the Viterbi data association algorithm, and on this basis an adaptive clutter model Viterbi data association (ACM-VDA) algorithm is put forward. Simulation results show that the number of false of ACM-VDA algorithm will be much less than that of VDA algorithm and VDA-AI algorithm.
Keywords
Viterbi detection; radar theory; sensor fusion; target tracking; ACM-VDA; OTHR target tracking; adaptive clutter density model; viterbi data association algorithm; Adaptation model; Clutter; Data models; Radar tracking; Target tracking; Viterbi algorithm; Adaptive Clutter Density Model; Over-the-horizon Radar; Viterbi Data Association;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573576
Link To Document