Fuzzy Logic Control for Doppler Search in DSSS Systems

Xuesen Shi, Yuyao Shen*, Yongqing Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The study on the Doppler frequency search strategy in direct sequence spread spectrum (DSSS) systems has been addressed in this article. To reduce the estimation error and alleviate the possible false detection, a novel Doppler search algorithm that combines the serial-based search and the fuzzy-logic (FL)-based search is presented. At first, the serial-based search is used until the decision variable exceeds a preset threshold; the FL-based search is then performed for a second search and the final decision is made. In the second search stage, Doppler search step size is adaptively adjusted by an FL controller. To design a robust FL controller, the characteristics of the spectrum distribution and several possible abnormal conditions are analyzed, input and output fuzzy membership functions are derived, and a set of fuzzy rules is formulated. Finally, the effectiveness of the proposed approach is evaluated through Monte Carlo simulations. The obtained results show that a smaller estimation error is achieved when the proposed algorithm is used; further, reasonable mean acquisition times are attained compared with other existing search techniques. Furthermore, the proposed algorithm can alleviate possible false detection in the abnormal conditions.

Original languageEnglish
Article number8784244
Pages (from-to)2232-2243
Number of pages12
JournalIEEE Transactions on Fuzzy Systems
Volume28
Issue number9
DOIs
Publication statusPublished - Sept 2020

Keywords

  • Doppler frequency search
  • estimation error
  • false detection
  • fuzzy logic (FL)
  • signal acquisition

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