Frequency-Hopping Signal Network-Station Sorting Based on Maxout Network Model and Generative Method

Hongguang Li, Ying Guo, Ping Sui, Xinyong Yu, Xin Yang and Shaobo Wang

Mathematical Problems in Engineering, 2019, vol. 2019, 1-6

Abstract:

Automatic frequency-hopping (FH) signal network-station sorting is one of the most difficult and import problems in the field of electronic warfare, especially in a complex electromagnetic environment. In this paper, an automatic and reliable network-station sorting method of FH signal with maxout network feature extraction and generative-based classification method is proposed. Experiments on real FH data sets demonstrate that the proposed method not only outperforms the competitive feature extraction methods with a higher accuracy of FH signal network-station sorting but also has a better robustness against noise, especially Gaussian noise.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9152728

DOI: 10.1155/2019/9152728

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