Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition
Aiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2021-11-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021218 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850210905110872064 |
|---|---|
| author | Mu ZHOU Yuexin LONG Qiaolin PU Yong WANG Wei HE |
| author_facet | Mu ZHOU Yuexin LONG Qiaolin PU Yong WANG Wei HE |
| author_sort | Mu ZHOU |
| collection | DOAJ |
| description | Aiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition algorithm based on the PARAFAC (parallel factor) analysis model and the ALS (alternate least squares) iterative algorithm were combined to reduce the interference of the environment.Then, the tensor wavelet decomposition algorithm was used to extract the feature and obtain the CSI fingerprint.Finally, a localization model was established based on the PLSR (partial least squares regression) algorithm to realize the location estimation.Experimental results show that the confidence probability of the proposed method is 94.88% within 4 m localization error, which verifies that the proposed method has good localization performance while fitting the relationship between CSI location fingerprints and location coordinates. |
| format | Article |
| id | doaj-art-a2cf0a71df2e4860ae1b3d5e72c141f6 |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a2cf0a71df2e4860ae1b3d5e72c141f62025-08-20T02:09:40ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-11-014215917159746125Indoor Wi-Fi fingerprint localization method based on CSI tensor decompositionMu ZHOUYuexin LONGQiaolin PUYong WANGWei HEAiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition algorithm based on the PARAFAC (parallel factor) analysis model and the ALS (alternate least squares) iterative algorithm were combined to reduce the interference of the environment.Then, the tensor wavelet decomposition algorithm was used to extract the feature and obtain the CSI fingerprint.Finally, a localization model was established based on the PLSR (partial least squares regression) algorithm to realize the location estimation.Experimental results show that the confidence probability of the proposed method is 94.88% within 4 m localization error, which verifies that the proposed method has good localization performance while fitting the relationship between CSI location fingerprints and location coordinates.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021218indoor localization;location fingerprint;channel state information;tensor decomposition;regression analysis |
| spellingShingle | Mu ZHOU Yuexin LONG Qiaolin PU Yong WANG Wei HE Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition Tongxin xuebao indoor localization;location fingerprint;channel state information;tensor decomposition;regression analysis |
| title | Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition |
| title_full | Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition |
| title_fullStr | Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition |
| title_full_unstemmed | Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition |
| title_short | Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition |
| title_sort | indoor wi fi fingerprint localization method based on csi tensor decomposition |
| topic | indoor localization;location fingerprint;channel state information;tensor decomposition;regression analysis |
| url | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021218 |
| work_keys_str_mv | AT muzhou indoorwififingerprintlocalizationmethodbasedoncsitensordecomposition AT yuexinlong indoorwififingerprintlocalizationmethodbasedoncsitensordecomposition AT qiaolinpu indoorwififingerprintlocalizationmethodbasedoncsitensordecomposition AT yongwang indoorwififingerprintlocalizationmethodbasedoncsitensordecomposition AT weihe indoorwififingerprintlocalizationmethodbasedoncsitensordecomposition |