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归一化窗S变换和TT变换联合时频滤波
引用本文:王 娟,何怡刚,方葛丰,樊晓腾.归一化窗S变换和TT变换联合时频滤波[J].计算机应用研究,2012,29(11):4254-4256.
作者姓名:王 娟  何怡刚  方葛丰  樊晓腾
作者单位:1. 湖南大学 电气与信息工程学院,长沙,410082
2. 1. 湖南大学 电气与信息工程学院, 长沙 410082; 2. 中国电子科技集团公司第41研究所 电子测试技术国防科技重点实验室, 山东 青岛 266555
基金项目:国家杰出青年科学基金资助项目(50925727); 国家自然科学基金资助项目(60876022); 湖南省科技计划资助项目(2011J4, 2011jk2023); 国防预研重大资助项目(C1120110004); 广东省教育部产学研计划资助项目(2009B090300196); 中央高校基本科研业务费计划资助项目
摘    要:基于雷达信号特性及归一化窗S变换与TT变换原理,提出一种新的雷达回波信号二维时频滤波方法。通过对雷达信号进行归一化窗S变换时频滤波,滤除高频杂波和随机噪声;再利用TT变换滤除低频杂波。实验结果表明,相较于传统滤波,所提方法的滤波算子随时间及频率同步变化,克服了传统方法受使用条件限制的缺点;有效滤除杂波的同时保留原信号特征,增强了检测及识别能力。

关 键 词:雷达回波信号  S变换  归一化窗S变换  TT变换  二维时频滤波

NWST and TT-transform joint time-frequency filtering
WANG Juan,HE Yi-gang,FANG Ge-feng,FAN Xiao-teng.NWST and TT-transform joint time-frequency filtering[J].Application Research of Computers,2012,29(11):4254-4256.
Authors:WANG Juan  HE Yi-gang  FANG Ge-feng  FAN Xiao-teng
Affiliation:1. College of Electrical & Information Engineering, Hunan University, Changsha 410082, China; 2. China National Key Laboratory of Science & Technology on Electronic Test & Measurement, The 41st Research Institute of China Electronics Technology Group Corporation, Qingdao Shandong 266555 China
Abstract:Based on the characteristics of radar signal and principle of the normalized window S transformNWST and TT-transform, this paper proposed a new two-dimensional time-frequency filtering method for radar echo signal. First, this method used time-frequency filtering based on NWST to filter out high frequency noise and random noise radar signal. Then, it used TT-transform to filter out low frequency noise. The experimental results show that, compared to traditional filter, the filter operator of the proposed method synchronously changes with the time and frequency to overcome the shortcomings of traditional method by the use of conditions. At the same time, this method can effectively filter out the noise while retenting of the original signal characteristics, so that enhance detection and recognition ability.
Keywords:radar echo signal  S transform  NWST  TT-transform  2D time-frequency filter
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