GMM-based localization algorithm under NLOS conditions
Aiming at indoor node localizations of WSN,a node localization algorithm,where priori-knowledge is not necessary,was proposed.on basis of analyzing the error model,combined with Gaussian mixture model (GMM).By training the distance measurements containing NLOS errors,the more accurate range estimati...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.012/ |
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| _version_ | 1841539732391067648 |
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| author | Wei CUI Cheng-dong WU Yun-zhou ZHANG Zi-xi JIA Long CHENG |
| author_facet | Wei CUI Cheng-dong WU Yun-zhou ZHANG Zi-xi JIA Long CHENG |
| author_sort | Wei CUI |
| collection | DOAJ |
| description | Aiming at indoor node localizations of WSN,a node localization algorithm,where priori-knowledge is not necessary,was proposed.on basis of analyzing the error model,combined with Gaussian mixture model (GMM).By training the distance measurements containing NLOS errors,the more accurate range estimations can be obtained.For higher localization accuracy,the particle swarm optimization (PSO) was introduced to optimize the expectation-maximization (EM)algorithm.Finally,by using the residual weighting algorithm to estimate the distance,the estimation coordinates of target nodes can be determined.The proposed algorithm was proved to be effective through simulation experiments. |
| format | Article |
| id | doaj-art-610ece9322bf4208a0a26d2761b8a600 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-610ece9322bf4208a0a26d2761b8a6002025-01-14T06:42:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-01-01359910659678943GMM-based localization algorithm under NLOS conditionsWei CUICheng-dong WUYun-zhou ZHANGZi-xi JIALong CHENGAiming at indoor node localizations of WSN,a node localization algorithm,where priori-knowledge is not necessary,was proposed.on basis of analyzing the error model,combined with Gaussian mixture model (GMM).By training the distance measurements containing NLOS errors,the more accurate range estimations can be obtained.For higher localization accuracy,the particle swarm optimization (PSO) was introduced to optimize the expectation-maximization (EM)algorithm.Finally,by using the residual weighting algorithm to estimate the distance,the estimation coordinates of target nodes can be determined.The proposed algorithm was proved to be effective through simulation experiments.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.012/NLOSRSSIresidual weighting algorithmparticle swarm optimization algorithmGaussian mixture model |
| spellingShingle | Wei CUI Cheng-dong WU Yun-zhou ZHANG Zi-xi JIA Long CHENG GMM-based localization algorithm under NLOS conditions Tongxin xuebao NLOS RSSI residual weighting algorithm particle swarm optimization algorithm Gaussian mixture model |
| title | GMM-based localization algorithm under NLOS conditions |
| title_full | GMM-based localization algorithm under NLOS conditions |
| title_fullStr | GMM-based localization algorithm under NLOS conditions |
| title_full_unstemmed | GMM-based localization algorithm under NLOS conditions |
| title_short | GMM-based localization algorithm under NLOS conditions |
| title_sort | gmm based localization algorithm under nlos conditions |
| topic | NLOS RSSI residual weighting algorithm particle swarm optimization algorithm Gaussian mixture model |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.012/ |
| work_keys_str_mv | AT weicui gmmbasedlocalizationalgorithmundernlosconditions AT chengdongwu gmmbasedlocalizationalgorithmundernlosconditions AT yunzhouzhang gmmbasedlocalizationalgorithmundernlosconditions AT zixijia gmmbasedlocalizationalgorithmundernlosconditions AT longcheng gmmbasedlocalizationalgorithmundernlosconditions |