A Modified Large Dynamic Weak DSSS Signal Acquisition Algorithm Based on DBZP

Zhen Tao, Ju Wang

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

Abstract

In order to solve the problem of fast acquisition of weak direct sequence spread spectrum (DSSS) signals under the condition of large dynamic, this paper proposes a modified DSSS signal acquisition algorithm based on the double block zero padding algorithm. The proposed algorithm realizes segmented Doppler search by frequency compensation of the baseband signal, then the code Doppler of partial correlation result is corrected by pre-compensating local pseudo-code and the Keystone transform. In addition, the computational cost of the algorithm is reduced by introducing the sparse fourier transform. Theoretical analysis and simulation results show that the proposed algorithm can effectively eliminate the influence of large dynamic on long-term accumulation of the weak DSSS signals. Compared with the representative algorithm, the proposed algorithm, which reduces the computational cost by 48.9% when the coherent accumulation time is 5ms, has higher computational efficiency.

Original languageEnglish
Title of host publication2021 13th International Conference on Communication Software and Networks, ICCSN 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages365-369
Number of pages5
ISBN (Electronic)9781665431828
DOIs
Publication statusPublished - 4 Jun 2021
Event13th International Conference on Communication Software and Networks, ICCSN 2021 - Chongqing, China
Duration: 4 Jun 20217 Jun 2021

Publication series

Name2021 13th International Conference on Communication Software and Networks, ICCSN 2021

Conference

Conference13th International Conference on Communication Software and Networks, ICCSN 2021
Country/TerritoryChina
CityChongqing
Period4/06/217/06/21

Keywords

  • keystone transform
  • large dynamic
  • long-term accumulation
  • sparse fourier transform
  • weak DSSS signal

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