A Novel Track-to-Track Association Algorithm Based on DWT

摘要：

A novel track-to-track association algorithm based on multiple 1-D discrete wavelet transform (DWT) has been proposed. Since the signal and noise exhibit different features in wavelet domain, the ratio of energy in high resolution wavelet space to energy in low resolution scale space is introduced to establish hypothesis test model based on F-distribution. Two test methods have been presented to resolve the multi-dimension problem. Computer simulation results show that the algorithm is effective and has a good performance to distinguish two closely cross tracks or two closely parallel tracks as well.

关键词： Track-to-track association Discrete wavelet transform Multi-sensor tracking Information fusion

作者: LIU Xi YIN Hao LIU Hai-yan WU Ze-min

作者单位: Institute of Communication Engineering,PLA University of Science and Technology,Nanjing 210007 Institute of China Electronic System Engineering Company,Beijing 1000392 Institute of Sciences,PLA University of Science and Technology,Nanjing 210007

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 4692-4696

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）