Fast detection method of signal interference on Beidou B1 signal

Abstract

Abstract: Interference detection is the basis of interference monitoring, which can effectively ensure the quality of Beidou B1 signal. Due to the poor detection performance of traditional CME (consecutive mean excision) algorithm, large amount of computation work of FCME(forward consecutive mean excision) and double threshold FCME algorithm makes it difficult to achieve fast interference detection. Therefore, an improved algorithm based on FCME is proposed. Firstly, according to the operational characteristics of FFT (fast Fourier transform), the interference detection sample points are reduced; then the differential algorithm is used to replace the sorting algorithm in FCME and calculate the initial threshold, so as to reduce the complexity of the algorithm; finally, the algorithm is verified by the measured data, and results show that the improved detection algorithm can effectively reduce the computational complexity, and has good detection performance for interference signals.

Key words: interference detection, forward consecutive mean excision(FCME), differential algorithm, complexity, detection performance

CLC Number:

LIU Ruihua, ZHANG Shuo. Fast detection method of signal interference on Beidou B1 signal [J]. Journal of Civil Aviation University of China, 2021, 39(3): 10-15.

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