Title :
Estimation of window length for LFM signal
Author :
Qingbo Yin ; Liran Shen ; Mingyu Lu ; Tian´en Shen ; Lili Guo
Author_Institution :
Coll. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
Abstract :
An adaptive approach is proposed to select analysis window parameters for LFM signals. After analyzing the instantaneous frequency and instantaneous bandwidth to deduce the relation between 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.
Keywords :
Gaussian processes; frequency modulation; higher order statistics; signal processing; signal sampling; time-frequency analysis; Gaussian window; LFM signal; STFT; adaptive approach; fixed sampling rate; high-order statistics; instantaneous bandwidth; instantaneous frequency; linear frequency modulated signals; optimal SNR; right time-frequency resolution; window length; window parameters; high-order statistics; instantaneous bandwidth; quantitative signal-to-noise ratio; window length selection;
Conference_Titel :
Wireless Communications & Signal Processing (WCSP), 2012 International Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4673-5830-9
Electronic_ISBN :
978-1-4673-5829-3
DOI :
10.1109/WCSP.2012.6542893
