Estimation and Simulation of the Capability for Frequency Hopping Signal Sorting

Frequency hopping signal sorting is an important method for evaluating the anti-interception capability of frequency hopping communication systems. With the widespread application of frequency hopping communication, the evaluation of the capability for frequency hopping signal sorting has become increasingly important. Therefore, it is very important to evaluate the capability of frequency hopping signal sorting. In this paper, the evaluation method for the capability of frequency hopping signal sorting is introduced, and the theoretical estimation formula is provided. The theoretical estimation formula is verified by simulation, and the simulation results verify the correctness of the theoretical estimation formula. At the same time, it is proved that improving the accuracy of time measurement can effectively improve the success rate of frequency hopping signal sorting.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/iccsn63464.2024.10793352
Primary Topic
Neural Networks and Applications
Type
article
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article

Estimation and Simulation of the Capability for Frequency Hopping Signal Sorting

Y. F. Liu, Yunxia Ye, Xin Yang
Neural Networks and Applications
article

Estimation and Simulation of the Capability for Frequency Hopping Signal Sorting

Y. F. Liu, Yunxia Ye, Xin Yang
article en

Abstract

Frequency hopping signal sorting is an important method for evaluating the anti-interception capability of frequency hopping communication systems. With the widespread application of frequency hopping communication, the evaluation of the capability for frequency hopping signal sorting has become increasingly important. Therefore, it is very important to evaluate the capability of frequency hopping signal sorting. In this paper, the evaluation method for the capability of frequency hopping signal sorting is introduced, and the theoretical estimation formula is provided. The theoretical estimation formula is verified by simulation, and the simulation results verify the correctness of the theoretical estimation formula. At the same time, it is proved that improving the accuracy of time measurement can effectively improve the success rate of frequency hopping signal sorting.

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Neural Networks and Applications
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