Symbol Rate Estimation based on Wavelet Transform and Cyclic Spectrum

doi:10.23940/ijpe.19.8.p9.21002106

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (8): 2100-2106.doi: 10.23940/ijpe.19.8.p9.21002106

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Symbol Rate Estimation based on Wavelet Transform and Cyclic Spectrum

Danyang Li^a, Xiaojun Hao^a, and Zhaoyue Zhang^b,*

a State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE), Luoyang, 471003, China
b College of Air Traffic Management, Civil Aviation University of China, Tianjin, 300300, China

Submitted on ;
Contact: * E-mail address: zyzhang@cauc.edu.cn
Supported by:
The authors would like to thank the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Director Fund (CEMEE2019Z0105B).

Abstract

Abstract: Aiming at the digital modulation signals such as MASK, MPSK, and MQAM in a Gaussian white noise environment, this paper theoretically analyzes the reason and rule of the appearance of the spectrum of wavelet transform and the symbol rate spectrum line of cyclic spectrum. The simulation results show that the method based on wavelet transform is better than that based on cyclic spectrum, and the SNR threshold of the first method is reduced by 8dB compared with the latter.

Key words: cyclic spectrum, digital modulated signal, root raised cosine filter, wavelet transform

Danyang Li, Xiaojun Hao, and Zhaoyue Zhang. Symbol Rate Estimation based on Wavelet Transform and Cyclic Spectrum [J]. Int J Performability Eng, 2019, 15(8): 2100-2106.

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Symbol Rate Estimation based on Wavelet Transform and Cyclic Spectrum

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