Mixed Vibration Signal Separation and Moving Object Detection Based on Independent Component Analysis

Ning Qiang; Fang Xiang

doi:10.4028/www.scientific.net/AMR.328-330.2113

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 328-330Mixed Vibration Signal Separation and Moving...

Mixed Vibration Signal Separation and Moving Object Detection Based on Independent Component Analysis

Abstract:

This article briefly describes the basic theory of independent component analysis (ICA) and algorithms. Independent component analysis (ICA) method is employed to separate the mixed vibration signal, measured from linear sensor array. By calculating the spatial spectrum function, identification and tracking of multiple moving targets achieved. The results show that, ICA can successfully detect and track multiple targets.

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Periodical:

Advanced Materials Research (Volumes 328-330)

Pages:

2113-2116

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.328-330.2113

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Online since:

September 2011

Authors:

Ning Qiang, Fang Xiang

Keywords:

Blind Source Separation (BSS), Independent Component Analysis (ICA), Multi-Target Tracking, Vibration Signal

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