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

fYear

2012

fDate

25-27 Oct. 2012

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WCSP.2012.6542893

Filename

6542893