Title :
Research on Modulation Recognition Method of MSK Signals Based on Wavelet Transform
Author :
Yongxin Feng ; Xiaoyu Zhang ; Bo Qian ; Guangshen Li
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
According to the characteristics of MSK signals, detecting statistics about mean ratio and variance ratio of the modulus which is calculated by normalized and non-normalized amplitude through Haar wavelet transform is established. Between-classes and within-classes modulation recognition of MSK signals through the relationship of minimum frequency interval and code rating and the ary of the signal is fulfilled. And this method is validated through software simulating. The simulation results show that the recognition method based on wavelet transform can recognize MSK signals correctly in the condition of low SNR.
Keywords :
minimum shift keying; wavelet transforms; Haar wavelet transform; MSK signals; SNR; code rating; modulation recognition method; wavelet transform; Frequency modulation; Histograms; Signal to noise ratio; Wavelet analysis; Wavelet transforms; Minimum Shift Keying signals; Modulation recognition; Normalized amplitude; Wavelet Transform;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.242
