Interference Mitigation in Cognitive Radio Communication Systems Based on the Wavelet Transform

Document Type : Original Article

Authors

1 M.Sc., Shahid Sattari University of Aeronautical Sciences and Technology, Tehran, Iran

2 Assistant Professor, Shahid Sattari University of Aeronautical Sciences and Technology, Tehran, Iran

Abstract

One of the destructive factors in communication and radar systems is intentional interference which is created by using jammers to disrupt the enemy's systems. If the intentional interference is not reduced well, the efficiency of the communication system would be completely disrupted. Jammers purposefully interfere and affect the optimal performance of the system. The NLMS adaptive algorithm is one of effective algorithms in eliminating intentional interference. In this paper, a new algorithm for eliminating intentional interference in cognitive radio systems using wavelet transform is presented. In the simulations, a 25-user cognitive radio system is used as a victim network in the vicinity of a network of primary users with Markov channel functionality. Considering eleven different scenarios, the performance of the proposed algorithm is investigated. To evaluate the performance of the proposed algorithm, the criterion of successful transmission of information in terms of signal to jammer ratio in each of the scenarios is discussed. According to the simulation results, the proposed algorithm, compared to the adaptive algorithm (NLMS), shows a significant improvement. The results, show 13% improvement for the proposed algorithm in successful transmission at SJR=5dB compared to the NLMS adaptive algorithm . 

Keywords

References

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Electronic and Cyber Defense
Volume 9, Issue 4 - Serial Number 36
Serial No. 36, Winter Quarterly
February 2022
Pages 55-66

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History

  • Receive Date: 12 February 2021
  • Revise Date: 07 June 2021
  • Accept Date: 04 July 2021
  • Publish Date: 20 February 2022

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