Positioning method based on WIFI position fingerprints and positioning system of robot
The invention discloses a positioning method based on WIFI position fingerprints and a positioning system of a robot. The WIFI position fingerprint-based positioning method comprises the steps of obtaining WIFI position fingerprint data of a to-be-positioned object at each position of a to-be-detect...
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| creator | LI TONG LONG XITIAN LIU RUI HU BO QIAO LEI CHI YINGYING ZHENG ZHE LI XIYUAN LEI ZHENJIANG WANG LIANG LIU YANG YU TONGWEI CUI WENPENG LI DONG SHEN LI |
| description | The invention discloses a positioning method based on WIFI position fingerprints and a positioning system of a robot. The WIFI position fingerprint-based positioning method comprises the steps of obtaining WIFI position fingerprint data of a to-be-positioned object at each position of a to-be-detected area so as to establish a WIFI position fingerprint database, and classifying the data of the WIFI position fingerprint database by adopting a K-means clustering division method so as to divide the data into K classes; obtaining an RSSI value of each wireless access point received by the to-be-positioned object at the current position, and removing RSSI values of some wireless access points with poor signal intensity from the RSSI values; and calculating the Euclidean distance between the sampling data formed by each residual RSSI value and the K classes, and performing matching positioning in the class with the minimum Euclidean distance value by adopting a weighted K nearest neighbor method so as to obtain a p |
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The WIFI position fingerprint-based positioning method comprises the steps of obtaining WIFI position fingerprint data of a to-be-positioned object at each position of a to-be-detected area so as to establish a WIFI position fingerprint database, and classifying the data of the WIFI position fingerprint database by adopting a K-means clustering division method so as to divide the data into K classes; obtaining an RSSI value of each wireless access point received by the to-be-positioned object at the current position, and removing RSSI values of some wireless access points with poor signal intensity from the RSSI values; and calculating the Euclidean distance between the sampling data formed by each residual RSSI value and the K classes, and performing matching positioning in the class with the minimum Euclidean distance value by adopting a weighted K nearest neighbor method so as to obtain a p</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>WIRELESS COMMUNICATIONS NETWORKS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAgLyC_OLMnMz8vMS1fITS3JyE9RSEosTk1RyM9TCPd081QogCpQSAMqSS0qKMrMKylWSMxLgcuAtBZXFpek5irkpykU5Sfll_AwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDAzMDIzNTQ0djYtQAADaoOb4</recordid><startdate>20191220</startdate><enddate>20191220</enddate><creator>LI TONG</creator><creator>LONG XITIAN</creator><creator>LIU RUI</creator><creator>HU BO</creator><creator>QIAO LEI</creator><creator>CHI YINGYING</creator><creator>ZHENG ZHE</creator><creator>LI XIYUAN</creator><creator>LEI ZHENJIANG</creator><creator>WANG LIANG</creator><creator>LIU YANG</creator><creator>YU TONGWEI</creator><creator>CUI WENPENG</creator><creator>LI DONG</creator><creator>SHEN LI</creator><scope>EVB</scope></search><sort><creationdate>20191220</creationdate><title>Positioning method based on WIFI position fingerprints and positioning system of robot</title><author>LI TONG ; LONG XITIAN ; LIU RUI ; HU BO ; QIAO LEI ; CHI YINGYING ; ZHENG ZHE ; LI XIYUAN ; LEI ZHENJIANG ; WANG LIANG ; LIU YANG ; YU TONGWEI ; CUI WENPENG ; LI DONG ; SHEN LI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110602651A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>WIRELESS COMMUNICATIONS NETWORKS</topic><toplevel>online_resources</toplevel><creatorcontrib>LI TONG</creatorcontrib><creatorcontrib>LONG XITIAN</creatorcontrib><creatorcontrib>LIU RUI</creatorcontrib><creatorcontrib>HU BO</creatorcontrib><creatorcontrib>QIAO LEI</creatorcontrib><creatorcontrib>CHI YINGYING</creatorcontrib><creatorcontrib>ZHENG ZHE</creatorcontrib><creatorcontrib>LI XIYUAN</creatorcontrib><creatorcontrib>LEI ZHENJIANG</creatorcontrib><creatorcontrib>WANG LIANG</creatorcontrib><creatorcontrib>LIU YANG</creatorcontrib><creatorcontrib>YU TONGWEI</creatorcontrib><creatorcontrib>CUI WENPENG</creatorcontrib><creatorcontrib>LI DONG</creatorcontrib><creatorcontrib>SHEN LI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI TONG</au><au>LONG XITIAN</au><au>LIU RUI</au><au>HU BO</au><au>QIAO LEI</au><au>CHI YINGYING</au><au>ZHENG ZHE</au><au>LI XIYUAN</au><au>LEI ZHENJIANG</au><au>WANG LIANG</au><au>LIU YANG</au><au>YU TONGWEI</au><au>CUI WENPENG</au><au>LI DONG</au><au>SHEN LI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Positioning method based on WIFI position fingerprints and positioning system of robot</title><date>2019-12-20</date><risdate>2019</risdate><abstract>The invention discloses a positioning method based on WIFI position fingerprints and a positioning system of a robot. The WIFI position fingerprint-based positioning method comprises the steps of obtaining WIFI position fingerprint data of a to-be-positioned object at each position of a to-be-detected area so as to establish a WIFI position fingerprint database, and classifying the data of the WIFI position fingerprint database by adopting a K-means clustering division method so as to divide the data into K classes; obtaining an RSSI value of each wireless access point received by the to-be-positioned object at the current position, and removing RSSI values of some wireless access points with poor signal intensity from the RSSI values; and calculating the Euclidean distance between the sampling data formed by each residual RSSI value and the K classes, and performing matching positioning in the class with the minimum Euclidean distance value by adopting a weighted K nearest neighbor method so as to obtain a p</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY WIRELESS COMMUNICATIONS NETWORKS |
| title | Positioning method based on WIFI position fingerprints and positioning system of robot |
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