Research on multi-target recognition method based on WSN and blind source separation
Aiming at the problem of signal aliasing in multi-target detection and recognition using wireless sensor network (WSN),a blind source separation algorithm was proposed,which can determine the number of targets and obtain the accurate source signals.In this algorithm,the multichannel mixed signal was...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2019-03-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00095/ |
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| _version_ | 1841531231229968384 |
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| author | Pengju HE Gangyi LIU Siyi LIU |
| author_facet | Pengju HE Gangyi LIU Siyi LIU |
| author_sort | Pengju HE |
| collection | DOAJ |
| description | Aiming at the problem of signal aliasing in multi-target detection and recognition using wireless sensor network (WSN),a blind source separation algorithm was proposed,which can determine the number of targets and obtain the accurate source signals.In this algorithm,the multichannel mixed signal was used as the analysis object,the number of source signals was determined based on the eigenvalue method and then the blind source separation algorithm based on the non-negative matrix factorization was used to obtain the separation signals.The experimental results indicate that the number of targets can be determined and the accurate separation signals can be obtained by the proposed scheme.It can be applied to solve the problem of signal aliasing in multi-target detection and recognition. |
| format | Article |
| id | doaj-art-315d124a2c47458e96502efaab07d8d8 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2019-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-315d124a2c47458e96502efaab07d8d82025-01-15T02:52:21ZzhoChina InfoCom Media Group物联网学报2096-37502019-03-013455059644156Research on multi-target recognition method based on WSN and blind source separationPengju HEGangyi LIUSiyi LIUAiming at the problem of signal aliasing in multi-target detection and recognition using wireless sensor network (WSN),a blind source separation algorithm was proposed,which can determine the number of targets and obtain the accurate source signals.In this algorithm,the multichannel mixed signal was used as the analysis object,the number of source signals was determined based on the eigenvalue method and then the blind source separation algorithm based on the non-negative matrix factorization was used to obtain the separation signals.The experimental results indicate that the number of targets can be determined and the accurate separation signals can be obtained by the proposed scheme.It can be applied to solve the problem of signal aliasing in multi-target detection and recognition.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00095/wireless sensor network (WSN)multi-target recognition,blind source separation (BSS) |
| spellingShingle | Pengju HE Gangyi LIU Siyi LIU Research on multi-target recognition method based on WSN and blind source separation 物联网学报 wireless sensor network (WSN) multi-target recognition,blind source separation (BSS) |
| title | Research on multi-target recognition method based on WSN and blind source separation |
| title_full | Research on multi-target recognition method based on WSN and blind source separation |
| title_fullStr | Research on multi-target recognition method based on WSN and blind source separation |
| title_full_unstemmed | Research on multi-target recognition method based on WSN and blind source separation |
| title_short | Research on multi-target recognition method based on WSN and blind source separation |
| title_sort | research on multi target recognition method based on wsn and blind source separation |
| topic | wireless sensor network (WSN) multi-target recognition,blind source separation (BSS) |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00095/ |
| work_keys_str_mv | AT pengjuhe researchonmultitargetrecognitionmethodbasedonwsnandblindsourceseparation AT gangyiliu researchonmultitargetrecognitionmethodbasedonwsnandblindsourceseparation AT siyiliu researchonmultitargetrecognitionmethodbasedonwsnandblindsourceseparation |