首页 | 本学科首页   官方微博 | 高级检索  
     

基于S变换的线性调频信号时频滤波
引用本文:迟华山,王红星,赵培洪,李军.基于S变换的线性调频信号时频滤波[J].无线电通信技术,2012,38(1):21-24,37.
作者姓名:迟华山  王红星  赵培洪  李军
作者单位:1. 海军航空工程学院电子信息工程系,山东烟台264001/清华大学电子工程系光纤传感实验室,北京100084
2. 海军航空工程学院电子信息工程系,山东烟台,264001
基金项目:国家自然科学基金(60772056)
摘    要:线性调频(LFM)信号是一种典型的非平稳信号。对非平稳信号的分析和处理不能仅依靠传统的基于傅里叶变换的分析方法,必须采用时域和频域联合的时频分析方法。将S变换(ST)的时频分析方法应用到LFM信号的滤波中,用tST-tIST和fST-fIST 2种算法组合分别实现了对LFM信号的滤波,然后采用均方误差(MSE)的衡量标准,仿真对比了以上2种算法组合的滤波性能。仿真结果表明:fST-fIST算法的滤波误差较大,不适合对LFM信号的滤波;tST-tIST算法的滤波性能较好,适合对LFM信号的滤波。

关 键 词:线性调频  S变换  S反变换  时频滤波  非平稳信号

Time-Frequency Filtering for LFM Based on S Transform
CHI Hua-shan,',WANG Hong-xing',ZHAO Pei-hong,LI Jun.Time-Frequency Filtering for LFM Based on S Transform[J].Radio Communications Technology,2012,38(1):21-24,37.
Authors:CHI Hua-shan    WANG Hong-xing'  ZHAO Pei-hong  LI Jun
Affiliation:1. Department of Electronic Information Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China; 2. Optical Fiber Sensor Laboratory, Department of Electronic Engineering,Tsinghua University, Beijing 100084, China)
Abstract:The linear frequency modulation(LFM) is a classical non-stationary signal. The traditional analysis method based on the Fourier transform is not suitable to the processing of the non-stationary signal,while the time-frequency analysis method is suitable. The time-frequency analysis method named S transform is applied to the LFM filtering. Two algorithms are used to the LFM filtering. The simulation is carried out to compare the filtering performance of the two algorithms using the mean square error criterion. T~ae simulation results show that the fST-flST algorithm is not suitable to the LFM filtering,while the tST-tIST algorithm is suitable.
Keywords:linear frequency modulation  S transform  inverse S transform  time-frequency filtering  non-stationary signal
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号