Collaborative probability based multimodel target identification in wireless sensor networks
A collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key informatio...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/74421214/ |
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author | SUN Xin-yao WANG Xue WANG Sheng |
author_facet | SUN Xin-yao WANG Xue WANG Sheng |
author_sort | SUN Xin-yao |
collection | DOAJ |
description | A collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key information as well,feature compaction,which achieved by principal components analysis,was carried out before learning.Different types of Gaussian classifier were developed for classifier learning.To gain global optimal results,committee decision was employed to select and combine individual decisions with dynamically adjusted weights.The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably. |
format | Article |
id | doaj-art-cb8316fbe7854d7a8b2bf170eccc3135 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2011-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-cb8316fbe7854d7a8b2bf170eccc31352025-01-14T08:23:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013214114774421214Collaborative probability based multimodel target identification in wireless sensor networksSUN Xin-yaoWANG XueWANG ShengA collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key information as well,feature compaction,which achieved by principal components analysis,was carried out before learning.Different types of Gaussian classifier were developed for classifier learning.To gain global optimal results,committee decision was employed to select and combine individual decisions with dynamically adjusted weights.The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably.http://www.joconline.com.cn/zh/article/74421214/wireless sensor networkscollaborative probabilitymultimodel target identificationGaussian process classifier |
spellingShingle | SUN Xin-yao WANG Xue WANG Sheng Collaborative probability based multimodel target identification in wireless sensor networks Tongxin xuebao wireless sensor networks collaborative probability multimodel target identification Gaussian process classifier |
title | Collaborative probability based multimodel target identification in wireless sensor networks |
title_full | Collaborative probability based multimodel target identification in wireless sensor networks |
title_fullStr | Collaborative probability based multimodel target identification in wireless sensor networks |
title_full_unstemmed | Collaborative probability based multimodel target identification in wireless sensor networks |
title_short | Collaborative probability based multimodel target identification in wireless sensor networks |
title_sort | collaborative probability based multimodel target identification in wireless sensor networks |
topic | wireless sensor networks collaborative probability multimodel target identification Gaussian process classifier |
url | http://www.joconline.com.cn/zh/article/74421214/ |
work_keys_str_mv | AT sunxinyao collaborativeprobabilitybasedmultimodeltargetidentificationinwirelesssensornetworks AT wangxue collaborativeprobabilitybasedmultimodeltargetidentificationinwirelesssensornetworks AT wangsheng collaborativeprobabilitybasedmultimodeltargetidentificationinwirelesssensornetworks |