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: College of Information Science and Technology,Dalian Maritime University,School of Computer and Info
• 出 处: Journal of Systems Engineering and Electronics
• 发表日期: 2013年01期
• 关键词: window length selection quantitative signal-to-noise ratio instantaneous bandwid

An adaptive approach to select analysis window parameters for linear frequency modulated(LFM) signals is proposed to obtain the optimal 3 dB signal-to-noise ratio(SNR) in the shorttime Fourier transform(STFT) domain.After analyzing the instantaneous frequency and instantaneous bandwidth to deduce the relation between the window length and deviation of the Gaussian 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 parameters for linear frequency modulated (LFM) signals is proposed to obtain the optimal 3 dB signal-to-noise ratio (SNR) in the shorttime Fourier transform (STFT) domain. After analyzing the instantaneous frequency and instantaneous bandwidth to deduce the relation between the window length and deviation of the Gaussian 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.