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Sensors 2017, 17(10), 2224; https://doi.org/10.3390/s17102224

An Acoustic Signal Enhancement Method Based on Independent Vector Analysis for Moving Target Classification in the Wild

1,2,†
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1,2,†
,
1,2,†
,
1,2,†
,
1,†,* and 1,†
1
Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
Current address: Science and Technology on Microsystem Laboratory, Building A, Xinwei Mansion, 1455 Pingcheng Road, JiaDing District, Shanghai 201821, China.
*
Author to whom correspondence should be addressed.
Received: 20 July 2017 / Revised: 17 September 2017 / Accepted: 25 September 2017 / Published: 28 September 2017
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Abstract

In this paper, we study how to improve the performance of moving target classification by using an acoustic signal enhancement method based on independent vector analysis (IVA) in the unattended ground sensor (UGS) system. Inspired by the IVA algorithm, we propose an improved IVA method based on a microphone array for acoustic signal enhancement in the wild, which adopts a particular multivariate generalized Gaussian distribution as the source prior, an adaptive variable step strategy for the learning algorithm and discrete cosine transform (DCT) to convert the time domain observed signals to the frequency domain. We term the proposed method as DCT-G-IVA. Moreover, we design a target classification system using the improved IVA method for signal enhancement in the UGS system. Different experiments are conducted to evaluate the proposed method for acoustic signal enhancement by comparing with the baseline methods in our classification system under different wild environments. The experimental results validate the superiority of the DCT-G-IVA enhancement method in the classification system for moving targets in the presence of dynamic wind noise. View Full-Text
Keywords: signal enhancement; independent vector analysis; acoustic target classification; microphone array signal enhancement; independent vector analysis; acoustic target classification; microphone array
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Zhao, Q.; Guo, F.; Zu, X.; Chang, Y.; Li, B.; Yuan, X. An Acoustic Signal Enhancement Method Based on Independent Vector Analysis for Moving Target Classification in the Wild. Sensors 2017, 17, 2224.

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