Acta Metrologica Sinica  2021, Vol. 42 Issue (6): 799-805    DOI: 10.3969/j.issn.1000-1158.2021.06.17
Current Issue | Archive | Adv Search |
Adaptive Signal Fusion Algorithm Based on Relative Fluctuation
PAN Zuo-zhou, MENG Zong, ZHANG Guang-ya, SHI Ying, FAN Feng-jie
Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
Download: PDF (2410 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  An improved adaptive random weighting algorithm was proposed to solve the problem that in the traditional random weighting algorithm, when the target signal is variable, the total mean square error is much larger than the constant signal. In order to make the estimated value closer to the true value, the mentioned algorithm used the relative fluctuation value of the collected signal to adaptively adjust the proportional relationship between the currently acquired signal and the historically acquired signal. Since the relative fluctuation value can be adjusted autonomously according to the signal variation, it can be well combined with the traditional random weighting algorithm. The effectiveness of the proposed fusion method had been demonstrated by numerical simulations.
Key wordsmetrology      multi-sensor signal fusion      random weighting algorithm      adaptive      relative fluctuation      fault diagnosis     
Received: 08 July 2019      Published: 23 June 2021
PACS:  TB973  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
PAN Zuo-zhou
MENG Zong
ZHANG Guang-ya
SHI Ying
FAN Feng-jie
Cite this article:   
PAN Zuo-zhou,MENG Zong,ZHANG Guang-ya, et al. Adaptive Signal Fusion Algorithm Based on Relative Fluctuation[J]. Acta Metrologica Sinica, 2021, 42(6): 799-805.
URL:  
http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2021.06.17     OR     http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2021/V42/I6/799
Copyright © Editorial Board of Acta Metrologica Sinica
Supported by:Beijing Magtech