<bold>AN ANALYSIS OF CAPTURED INDUSTRIAL VEHICULAR NOISE SIGNALS </bold>FOR ZIGBEE COMMUNICATIONS

被引：0
|
作者：
Woo, L. [1 ,2 ]
Kinsner, W. [2 ]
Ferens, K. [2 ]
机构：
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 5V6, Canada
[2] Telecommun Res Labs TRLabs, Winnipeg, MB R3T 6A8, Canada
来源：
2008 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-4 | 2008年
基金：
加拿大自然科学与工程研究理事会;
关键词：
broadband signals; electromagnetic industrial noise burst; fractal signal analysis; multiscale variance fractal dimension;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses a scheme to measure the robustness of the ZigBee protocol as deployed in industrial machinery under the influence of electromagnetic noise. The scheme is based on a multiscale signal processing to analyze the time domain characteristics of the pulsative and other noise signals. The variance fractal dimension of the captured noise signals sequence shows that these signals exhibit fractal characteristics. In particular, the starter noise burst portion of the captured signal is more correlated compared to the background noise portion in all the acquired data, and the noise burst is multifractal in time. These findings support and verify the fractal model of noise in industrial machinery.
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页码：1358 / +
页数：3
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