TY - GEN
T1 - A Viterbi data association algorithm based on adaptive clutter density model
AU - Wang, Zengfu
AU - Pan, Quan
AU - Liang, Yan
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Adaptive clutter density model
KW - Over-the-horizon radar
KW - Viterbi data association
UR - http://www.scopus.com/inward/record.url?scp=78650242307&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:78650242307
SN - 9787894631046
T3 - Proceedings of the 29th Chinese Control Conference, CCC'10
SP - 2818
EP - 2822
BT - Proceedings of the 29th Chinese Control Conference, CCC'10
T2 - 29th Chinese Control Conference, CCC'10
Y2 - 29 July 2010 through 31 July 2010
ER -