自适应陷波器级联神经网络抗干扰算法

doi:10.3969/j.issn.1001-2400.2017.06.021

Abstract

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.

Key words: global positioning system, neural networks, adaptive notch filter(ANF), jamming, interference suppression

YANG Qiong;ZHANG Yi;TANG Chengkai. Research on adaptive notch filter cascading neural network anti-jamming algorithm[J].Journal of Xidian University, 2017, 44(6): 116-121.

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

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