Research on adaptive notch filter cascading neural network anti-jamming algorithm

Qiong Yang, Yi Zhang, Chengkai Tang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Satellite navigation suffers from performance degradation in the presence of narrowband interference. We present a Global Positioning System(GPS) receiver anti-jamming algorithm based on the neural network. The method combines the adaptive notch filter with the Back Propagation(BP) neural network. We first use the two order lattice infinite impulse response adaptive notch filter to eliminate-out-of-band jamming, then use the BP neural network predictor to estimate and cancel jamming. We analyze three aspects of algorithm performance which include acquired satellite numbers, signal-to-noise improvements and iteration numbers. Simulation results show that the method can effectively suppress narrowband interference and has a better anti-jamming capacity and a faster convergence speed.

Original languageEnglish
Pages (from-to)116-121
Number of pages6
JournalXi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University
Volume44
Issue number6
DOIs
StatePublished - 20 Dec 2017

Keywords

  • Adaptive notch filter(ANF)
  • Global positioning system
  • Interference suppression
  • Jamming
  • Neural networks

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