Acquisition and Analysis of Multi-Global Navigation Satellite System Signals Based on Fast Fourier Transform
- 作者: Muhammad Noaman Zahid 1, Ali R.2, Afzal M.3
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隶属关系:
- School of Optics and Photonics, Beijing Institute of Technology
- Fert Beijing Institute, BDBC, School of Microelectronics, Beihang University
- School of Mechanical Engineering, Kyungpook National University
- 期: 卷 64, 编号 11 (2019)
- 页面: 1288-1297
- 栏目: Theory and Methods of Signal Processing
- URL: https://journals.rcsi.science/1064-2269/article/view/201574
- DOI: https://doi.org/10.1134/S1064226919110251
- ID: 201574
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详细
This paper presents an essential technique for acquiring multi-GNSS signals using FFT. The fundamental approach of multi-GNSS satellite navigation is that the navigation information transmitted with the help of stand-alone GNSS system of numerous constellations is acquired by the receiver. The reason for the acquisition is to apprehend how many total numbers of satellites are currently visible to the user segment; also, the acquisition must determine the code phase and frequency of satellite signals. Although, there are three search domains, which are Doppler frequency, code phase, and code identification, in the acquisition processing, the emphasis of this paper will be on the search of the code phase. FFT based acquisition can decrease acquisition time of DSSS signals due to an increase in the power of DSP chips. The use of FFT based algorithms to perform acquisition of Direct Sequence Spread Spectrum (DSSS) is still the hot topic of research. The main purpose of this study is the analysis of the Multi-GNSS signal acquisition process using the Fast Fourier Transform (FFT) method. Based on MATLAB software platform; GPS, GLONASS, and BeiDou signals are acquired from the real IF signal records of GPS, GLONASS, and BeiDou. The output results of the FFT based acquisition are presented and discussed.
作者简介
Muhammad Noaman Zahid
School of Optics and Photonics, Beijing Institute of Technology
编辑信件的主要联系方式.
Email: noaman114@bit.edu.cn
中国, Beijing, 100081
Rashid Ali
Fert Beijing Institute, BDBC, School of Microelectronics, Beihang University
Email: noaman114@bit.edu.cn
中国, Beijing, 100091
Muhammad Afzal
School of Mechanical Engineering, Kyungpook National University
Email: noaman114@bit.edu.cn
韩国, Daegu, 41566