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A Double Threshold Cooperative GNSS Interference Detection Algorithm Based on Fuzzy Logic
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DOI：10.1109/ACCESS.2020.3027612.png)
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摘要
En 中文
In this paper, an interference detection algorithm based on fuzzy logic fusion is proposed for the interference monitoring system (IMS) of the global satellite navigation system (GNSS). In particular, for the problem of reduced detection performance caused by noise fluctuations in a complex electromagnetic environment, the proposed algorithm introduces the idea of fuzzy logic. According to the credibility of local detection results in different regions determined by noise uncertainty, we adopt a two-step cooperative detection mechanism in the fusion center (FC). When a definite detection result is obtained in the first step, the decision is finished. Otherwise, we will execute the decision algorithm based on the fuzzy logic fusion of the second step. The experimental results show that the proposed algorithm has the best detection performance, compared with the traditional energy detection algorithm and the energy detection algorithm based on soft data. Furthermore, compared with soft data, the system overhead of the proposed algorithm is also reduced without increasing the amount of calculation.
Keyword:
Interference
Global navigation satellite system
Detection algorithms
Fuzzy logic
Uncertainty
Monitoring
Receivers
Double threshold
fuzzy logic
global satellite navigation system (GNSS)
interference detection
noise uncertainty
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期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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