Technology of Information Security
|
2483-2487,2491

Blind period estimation of PN sequence based on pulse shaping of spectrum signal

Li Qun
Zhang Tianqi
Yuan Shuai
Chongqing Key Laboratory of Signal & Information Processing, Chongqing University of Posts & Telecommunications, Chongqing 400065, China

Abstract

The spectrum of the baseband spread spectrum signal has a wide frequency range, when the signal is transmitted in the band limited channel, the bandwidth of the signal needs to be limited, thereby causing intersymbol interference. Therefore, in order to reduce the inter-symbol crosstalk between baseband spread spectrum signals and their occupied bandwidth, this paper studied the main parameters of its low interception performance of the baseband spread spectrum signal after it passed through the pulse shaper, and it estimated pseudocode period by using twice power spectrum. The theoretical analysis proved that the signal after twice power spectrum extends spectral line on the period of impulse sequence, and the main energy of the signal would gather in some sharpness similar to that of the quadratic spectrum of the baseband shaping pulse. The pseudo-code period of the baseband spread spectrum signal could be estimated by measuring the spacing between these sharp pulses. Simulation results show that the method of twice power spectrum can be used to estimate the pseudo-code period of pulse shaped spread baseband signal under low signal-to-noise ratio condition. And accuracy of the algorithm to estimate the proposed pseudo-code period improves approximately 7 dB compared to the method without pulse shaping.

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.1001-3695.2018.02.0106
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Technology of Information Security
Pages: 2483-2487,2491
Serial Number: 1001-3695(2019)08-051-2483-05

Publish History

[2019-08-05] Printed Article

Cite This Article

李群, 张天骐, 袁帅. 基于脉冲成形扩频信号伪码周期盲估计 [J]. 计算机应用研究, 2019, 36 (8): 2483-2487,2491. (Li Qun, Zhang Tianqi, Yuan Shuai. Blind period estimation of PN sequence based on pulse shaping of spectrum signal [J]. Application Research of Computers, 2019, 36 (8): 2483-2487,2491. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)