Title: A rapid elimination of communication signal interference in complex electromagnetic environment

Authors: Cao Chai

Addresses: College of Continuing Education, Dongguan Polytechnic, Dongguan 523808, China

Abstract: In order to solve the problems of low recognition accuracy and the long-time consumption of the signal interference elimination method, a rapid elimination method of communication signal interference in a complex electromagnetic environment is studied. Short-time Fourier transform (STFT) algorithm is used to calculate the time spectrum of mixed signals in complex electromagnetic environment. According to frequency and amplitude characteristics, fuzzy minimum-maximum neural network (FMNN) is used to classify and identify the interference signals. According to the transverse filter, least mean square (LMS) algorithm is constructed to calculate the tap weight coefficient and filter coefficient, which is combined with the filter coefficient to separate the normal communication signal from the interference signal to achieve the rapid elimination of interference. Experimental results show that the maximum recognition accuracy of the proposed method is 97%, the signal noise amplitude is between 3 and 10 dB, and the average time of interference elimination is 0.73 s.

Keywords: complex electromagnetic environment; communication signal; time spectrum; FMNN; LMS algorithm; low recognition accuracy; long time consuming.

DOI: 10.1504/IJICT.2024.140307

International Journal of Information and Communication Technology, 2024 Vol.25 No.2, pp.168 - 180

Received: 26 Apr 2022
Accepted: 24 Jun 2022
Published online: 02 Aug 2024 *

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