Carrier frequency and symbol rate estimation based on cyclic spectrum

doi:10.21629/JSEE.2020.01.05

Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (1): 37-44.doi: 10.21629/JSEE.2020.01.05

• Electronics Technology • Previous Articles Next Articles

Carrier frequency and symbol rate estimation based on cyclic spectrum

Sisi CAO(), Weiyan ZHANG*()

Institute of Computer Applications, China Academy of Engineering Physics, Mianyang 621000, China

Received:2019-01-21 Online:2020-02-20 Published:2020-02-25
Contact: Weiyan ZHANG E-mail:609569884@qq.com;zwy5552@dingtalk.com
About author:CAO Sisi was born in in 1991. She received her bachelor's degree in communication engineering in 2014 and master's degree in the field of electronics and communication engineering in 2017 both from University of Chongqing, Chongqing, China. Her research insterest is non-cooperative communication signal processing. Currently she is working as an assistant engineer employed by the Institute of Computer Applications, China Academy of Engineering Physics. E-mail: 609569884@qq.com|ZHANG Weiyan was born in 1978. He is a senior engineer in Institute of Computer Applications, China Academy of Engineering Physics. His research interest is database technology information security. E-mail: zwy5552@dingtalk.com
Supported by:
the National Key R & D Program of China(2016YFB0800203);This work was supported by the National Key R & D Program of China (2016YFB0800203)

Abstract

Abstract:

Carrier frequency and symbol rate estimation are the main contents of parameter estimation, which is the basis of modulation recognition and further processing of signals especially in non-cooperative communication. With the development of wireless communication, the signal transmission environment has become increasingly bad, causing more difficulties in parameter estimation. It is well known that the signal cycle spectrum is robust to noises and signal parameters are closely related. In practice, it is impossible to calculate the cyclic spectrum of infinite length data signals. When using finite length data to obtain a cycle spectrum, the truncation noise is induced, resulting in interference. It is necessary to overcome the influence of noises in order to improve the detection ability of discrete spectral lines. An improved method of the discrete spectral line extraction algorithm is proposed by reflecting the amplitude advantage of discrete spectral lines through salient features of continuous noises in discrete spectral line neighborhood.

Key words: digital modulation signal, carrier frequency, symbol rate, cyclic spectrum, noise control

Sisi CAO, Weiyan ZHANG. Carrier frequency and symbol rate estimation based on cyclic spectrum[J]. Journal of Systems Engineering and Electronics, 2020, 31(1): 37-44.

Figures/Tables 8

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Carrier frequency and symbol rate estimation based on cyclic spectrum

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