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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1486-1489

Parameter blind estimation based on cyclic autocorrelation of NC-OFDM signals

Wang Sheng
Zhang Tianqi
Yuan Shuai
Chongqing Key Laboratory of Signal & Information Processing, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0749

Abstract

In the cognitive radio(CR) environment, the problem of insufficient frequency resources gets severe, however non-continuous orthogonal frequency division multiplexing(NC-OFDM) can work in the non-continuous spectral environment. This paper proposed cyclic autocorrelation method to deal with the important problem of parameter estimation of NC-OFDM signals. Firstly, it analyzed the characteristics of cyclostationary of signals. Then according to the cyclic autocorrelation of the NC-OFDM signal, it estimated the parameters with the characteristics of the discrete spectral lines in the cyclic frequency α and the time delay τ cutaway. Finally, this paper simulated the cyclic autocorrelation of the NC-OFDM signals. The simulation results show that the parameters of NC-OFDM signal can be effectively estimated and recognized zero-prefix orthogonal frequency division multiplexing signals(ZP-OFDM) at low signal-to-noise ratio, and the experiments show that close to 90% of the number of subcarriers, can achieve NC-OFDM signals parameter blind estimation.

Foundation Support

国家自然科学基金资助项目(61671095,61371164,61702065,61701067,61771085)
信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003)
重庆市研究生科研创新项目(CYS17219)
重庆市教育委员会科研项目(KJ1600427,KJ1600429)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0749
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Technology of Network & Communication
Pages: 1486-1489
Serial Number: 1001-3695(2019)05-043-1486-04

Publish History

[2019-05-05] Printed Article

Cite This Article

王胜, 张天骐, 袁帅. 基于循环自相关的NC-OFDM信号参数的盲估计 [J]. 计算机应用研究, 2019, 36 (5): 1486-1489. (Wang Sheng, Zhang Tianqi, Yuan Shuai. Parameter blind estimation based on cyclic autocorrelation of NC-OFDM signals [J]. Application Research of Computers, 2019, 36 (5): 1486-1489. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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