Journal of Systems Engineering and Electronics ›› 2013, Vol. 24 ›› Issue (1): 26-35.doi: 10.1109/JSEE.2013.00004

• ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

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

Qingbo Yin1, Liran Shen1, Mingyu Lu1,*, Xiangyang Wang2, and Zhi Liu1   

  1. 1. College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
    2. School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China
  • Online:2013-02-25 Published:2010-01-03


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.