Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit
Kernel matching pursuit requires every step of searching process be global optimal searching in the redundant dictionary of function.Namely,the dictionary learning time of KMP was too long.To the above drawbacks,a novel technique for KMP based on IFCM was proposed to substitute local searching for g...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.017/ |
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| _version_ | 1841539863109697536 |
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| author | Yang LEI Wei-wei KONG Ying-jie LEI |
| author_facet | Yang LEI Wei-wei KONG Ying-jie LEI |
| author_sort | Yang LEI |
| collection | DOAJ |
| description | Kernel matching pursuit requires every step of searching process be global optimal searching in the redundant dictionary of function.Namely,the dictionary learning time of KMP was too long.To the above drawbacks,a novel technique for KMP based on IFCM was proposed to substitute local searching for global searching by the property superiority of dynamic clustering performance,which was also the superiority in Intuitionistic fuzzy c-means algorithm.Then two testing including classification and effectiveness were carried out towards four real sample data.Subsequently,high resolution range profile (HRRP)was selected from the classical properties of target recognition in e middle ballistic trajectory,which were extracted for getting sub-range profile.Finally,three algorithms including FCM,KMP,IFCM-KMP were carried out respectively towards different kinds of sub-range profile samples in emulation platform,the conclusion of which fully demonstrates that the IFCM-KMP algorithm is superior over FCM and KMP when it comes to target recognition in the middle ballistic trajectory. |
| format | Article |
| id | doaj-art-32a2c10290c740718d4337763173a931 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-32a2c10290c740718d4337763173a9312025-01-14T06:33:34ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-11-013313614359666849Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuitYang LEIWei-wei KONGYing-jie LEIKernel matching pursuit requires every step of searching process be global optimal searching in the redundant dictionary of function.Namely,the dictionary learning time of KMP was too long.To the above drawbacks,a novel technique for KMP based on IFCM was proposed to substitute local searching for global searching by the property superiority of dynamic clustering performance,which was also the superiority in Intuitionistic fuzzy c-means algorithm.Then two testing including classification and effectiveness were carried out towards four real sample data.Subsequently,high resolution range profile (HRRP)was selected from the classical properties of target recognition in e middle ballistic trajectory,which were extracted for getting sub-range profile.Finally,three algorithms including FCM,KMP,IFCM-KMP were carried out respectively towards different kinds of sub-range profile samples in emulation platform,the conclusion of which fully demonstrates that the IFCM-KMP algorithm is superior over FCM and KMP when it comes to target recognition in the middle ballistic trajectory.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.017/intuitionistic fuzzy setsc-means clusteringfuzzy c-means clusteringkernel matching pursuithigh resolution range profiletarget recognition |
| spellingShingle | Yang LEI Wei-wei KONG Ying-jie LEI Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit Tongxin xuebao intuitionistic fuzzy sets c-means clustering fuzzy c-means clustering kernel matching pursuit high resolution range profile target recognition |
| title | Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit |
| title_full | Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit |
| title_fullStr | Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit |
| title_full_unstemmed | Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit |
| title_short | Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit |
| title_sort | technique for target recognition based on intuitionistic fuzzy c means clustering and kernel matching pursuit |
| topic | intuitionistic fuzzy sets c-means clustering fuzzy c-means clustering kernel matching pursuit high resolution range profile target recognition |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.11.017/ |
| work_keys_str_mv | AT yanglei techniquefortargetrecognitionbasedonintuitionisticfuzzycmeansclusteringandkernelmatchingpursuit AT weiweikong techniquefortargetrecognitionbasedonintuitionisticfuzzycmeansclusteringandkernelmatchingpursuit AT yingjielei techniquefortargetrecognitionbasedonintuitionisticfuzzycmeansclusteringandkernelmatchingpursuit |