Title: Tracking algorithm of weak disturbance signal under multi-device interference in internet of things

Authors: Shuai Yang; Zhi-Hui Zou; Gihong Min

Addresses: Department of Automation, College of Humanities Information, Changchun University of Technology, 7989 Weixing Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, 130012, China ' Department of Information Engineering, College of Humanities Information, Changchun University of Technology, 7989 Weixing Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, 130012, China ' Department of Game Engineering, Paichai University, 155-40 Baejae-ro, Doma-dong, Seo-gu, Daejeon, South Korea

Abstract: It was easy to generate weak disturbance signals under the condition of multi device interference and was necessary to track and control the signals. There were some errors in the traditional signal tracking methods. However, tracking accuracy was low. Therefore, a new tracking algorithm for weak disturbance signals with multi-device interference in the internet of things was proposed. This method was a new method which combined the full differential Thevenin equivalent parameter tracking method and the disturbance signal control method of the internet of things. Before tracking and controlling the weak disturbance signal, the complex wavelet detection method was used to detect the disturbance signal, and then the David superconducting magnetic method was used to track the weak disturbance signal. Experimental results showed that the proposed method can make the system run stably at the minimum cost. Besides, tracking accuracy of the proposed method was about 2.2%, while that of the traditional method was about 0.5%, which indicated that the proposed method can effectively track the weak disturbance signal of the internet of things under the interference of multiple devices, and made the internet of things in a stable operation state.

Keywords: equipment interference; internet of things; weak disturbance signal; tracking; signal tracking.

DOI: 10.1504/IJES.2020.107637

International Journal of Embedded Systems, 2020 Vol.12 No.4, pp.491 - 499

Received: 18 May 2018
Accepted: 13 Nov 2018

Published online: 05 May 2020 *

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