Selection of optimal window length using STFT for quantitative SNR analysis of LFM signal  

作　　者：Qingbo Yin Liran Shen Mingyu Lu Xiangyang Wang Zhi Liu 

机构地区：[1]College of Information Science and Technology,Dalian Maritime University [2]School of Computer and Information Technology,Liaoning Normal University

出　　处：《Journal of Systems Engineering and Electronics》2013年第1期26-35,共10页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61073133;61175053;61272369;60975019);the Heilongjiang Postdoctoral Grant(LRB08362);the Fundamental Research Funds for the Central Universities of China(2011QN027;2011QN126;2012QN030;2011ZD010);the Science and Technology Planning Project of Dalian City(2011A17GX073;2010E15SF153)

摘　　要：An adaptive approach to select analysis window param- eters for linear frequency modulated （LFM） signals is proposed to obtain the optimal 3 dB signal-to-noise ratio （SNR） in the short- time Fourier transform （STFT） domain. After analyzing the instan- taneous frequency and instantaneous bandwidth to deduce the relation between the window length and deviation of the Gaus- sian window, high-order statistics is used to select the appropriate window length for STFT and get the optimal SNR with the right time-frequency resolution according to the signal characteristic under a fixed sampling rate. Computer simulations have verified the effectiveness of the new method.An adaptive approach to select analysis window param- eters for linear frequency modulated （LFM） signals is proposed to obtain the optimal 3 dB signal-to-noise ratio （SNR） in the short- time Fourier transform （STFT） domain. After analyzing the instan- taneous frequency and instantaneous bandwidth to deduce the relation between the window length and deviation of the Gaus- sian window, high-order statistics is used to select the appropriate window length for STFT and get the optimal SNR with the right time-frequency resolution according to the signal characteristic under a fixed sampling rate. Computer simulations have verified the effectiveness of the new method.

关 键 词：window length selection quantitative signal-to-noise ratio instantaneous bandwidth high-order statistics. 

分 类 号：TN911.4[电子电信—通信与信息系统]