An Applied MK-NN Algorithm for Multisensor Track Correlation
Track correlation is to judge racks from different sub-code correspond to the same target or not.When there are more than two sensors, the normal correlation structure can be divided in two steps: form intermediate system track and correlate track one by one.It is difficult to process system track combination.MK-NN algorithm has good performance in track correlation. This paper gives a new structure and a modified MK-NN, establish system tracks firstly, and then correlate each sensors tracks with system tracks,correlate system tracks to decrease the redundant system tracks, recheck fixed correlation pair to correct the wrong correlation in the cross situation. The simulation result shows the algorithm is more applicable, and it was used in a simulation fusion system for its good performance.
Tracking track correlation correlation model MK-NN data association
Yanan Li Yaowen Fu Xiang Li
ATR Key Lab National University of Defense Technology Changsha, HN, China
国际会议
The International Colloquium on Onformation Fusion 2007(2007年国际信息融合研讨会)
西安
英文
267-271
2007-08-22（万方平台首次上网日期，不代表论文的发表时间）