基于DT-CWT与TVAR的多雷达信号融合  

Radar Signal Fusion Based on DT-CWT and TVAR

作　　者：王成[1] 胡卫东[1] 郁文贤[1] 

机构地区：[1]国防科技大学ATR重点实验室,湖南长沙410073

出　　处：《信号处理》2006年第2期157-162,共6页Journal of Signal Processing

摘　　要：针对目标散射回波数据非平稳的特点,本文提出了一种基于DT-CWT与TVAR的雷达信号融合方法。本文利用复小波对雷达信号进行分解,然后对各个小波子空间上的信号进行TVAR建模预测,最后再通过复小波重构雷达信号, 并对两部雷达信号进行幅相补偿和融合,从而获得了超分辨的雷达一维距离像。A radar signal fusion method based on DT-CWT and TVAR is presented for the non - stationary character of radar scatter data in the paper. Radar signal is decomposed with dual-tree complex wavelet transform. In different wavelet subspaces, Signal is modeled and predicted with TVAR model. New radar signal can be obtained through the complex wavelet reconstruction. Finally, a super-resolution one dimension range image can be achieved by amplitude-phase compensation and fusion two radar signals.

关 键 词：复小波 TVAR模型 幅相补偿 信号融合 超分辨 

分 类 号：TN967.2[电子电信—信号与信息处理] TP391[电子电信—信息与通信工程]