A Fast Acquisition Algorithm Based on Two Stage Difference and Keystone Transform

Xiaoxue Wang, Zhe Zheng, Boning Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aiming at the problem of limited accumulation time and dynamic influence on coherent accumulation in the acquisition of very low signal-to-noise ratio(SNR) and high dynamic Direct Sequence Spread Spectrum (DSSS) signals, a fast acquisition algorithm based on two stage difference combined with keystone transform is proposed. Firstly, the algorithm uses the two stage differential delay autocorrelation method to eliminate the influence of data bit jump and carrier doppler frequency, so that the correlation accumulation time is no longer limited by data bits. Secondly, the keystone transform is used to solve the problem of pseudo-code phase walk caused by high dynamic in long time accumulation. Finally, the carrier Doppler frequency is calculated by difference. The simulation results show that the algorithm can effectively solve the problem of data bit jump and dynamic influence in long time accumulation of DSSS signal in very low SNR and high dynamic scene.

Original languageEnglish
Title of host publication2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781733509657
DOIs
Publication statusPublished - 2023
Event2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 - Hangzhou, China
Duration: 15 Aug 202318 Aug 2023

Publication series

Name2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

Conference

Conference2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
Country/TerritoryChina
CityHangzhou
Period15/08/2318/08/23

Keywords

  • data bit jump
  • delay autocorrelation
  • keystone
  • two stage difference

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