Adaptive digital filtering method for communication channel noise in Internet of Things

Fanzhi Meng

doi:10.1117/12.2639660

15 July 2022 Adaptive digital filtering method for communication channel noise in Internet of Things

Fanzhi Meng

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122581Y (2022) https://doi.org/10.1117/12.2639660
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

With the rapid development of the Internet of Things, the problem of channel noise restriction has become increasingly prominent. In the application process, the SNR is too low. In order to solve the above problems, an adaptive digital filtering method of noise in Internet of Things communication channel is designed. Extract the network spread spectrum factor, extend the original signal to a higher bandwidth transmission, improve the communication channel noise detection mode, forward the received source signal to the destination and amplify, realize the design of adaptive digital filtering method. Experimental results: The signal to noise ratio of the self-adaptive digital filtering method of the Internet of Things communication channel noise in this paper is 2.903dB and 2.866dB more than the mean of the other two methods, indicating that the self-adaptive digital filtering method of the Internet of Things communication channel noise in this design is more effective.

Citation Download Citation

Fanzhi Meng "Adaptive digital filtering method for communication channel noise in Internet of Things", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122581Y (15 July 2022); https://doi.org/10.1117/12.2639660

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