Algorithm Research & Explore
|
1360-1362

Research on sea wind speed inversion of GNSS-R based on DW feature parameters

Liu Yuanhua1
Guo Shunli1
Niu Xinliang2
1. College of Communications & Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an 710121, China
2. Xi'an Branch of China Academy of Space Technology, Xi'an 710000, China

Abstract

Traditionally, airborne sea surface wind speed inversion generally uses relevant power curve directly matching method, this methods need to extracted state information from the actual measurement data for generating theoretical waveform, however, the state information extracted from the actual measurement data is existed error, so that there is an error in the theoretical waveform, thus, the inversion result is not accurate. This paper proposed a new method of wind speed inversion based on one-dimensional delay power waveform characteristic parameters, the method was based on the influence of wind speed on delay window of one dimensional delay power curve, it established the inversion model of wind speed by using the time delay window of one dimension delay power curve as the characteristic parameter. The experimental results show that the accuracy of the new method is 0.77 m/s. Compared to traditional methods, the accuracy is improved by 33.04%, and the model is simple.

Foundation Support

陕西省自然科学基础研究计划项目(2016JQ6033)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0779
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Algorithm Research & Explore
Pages: 1360-1362
Serial Number: 1001-3695(2019)05-017-1360-03

Publish History

[2019-05-05] Printed Article

Cite This Article

刘原华, 郭顺利, 牛新亮. 基于DW特征参数的GNSS-R海面风速反演研究 [J]. 计算机应用研究, 2019, 36 (5): 1360-1362. (Liu Yuanhua, Guo Shunli, Niu Xinliang. Research on sea wind speed inversion of GNSS-R based on DW feature parameters [J]. Application Research of Computers, 2019, 36 (5): 1360-1362. )

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)