Hybrid Indoor Localization Method Based on Signal Subspace Fingerprint Database

被引：0
|
作者：
Wang, Weigang [1 ,2 ]
Wang, Wenrui [1 ]
Sun, Kexue [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Sch Elect Sci & Engn, Nanjing 210003, Jiangsu, Peoples R China
[2] Minist Educ, Key Lab Broadband Wireless Commun & Sensor Networ, Nanjing 210003, Jiangsu, Peoples R China
来源：
2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017) | 2017年
关键词：
indoor localization; fingerprint database; subspace matching; hybrid localization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To solve the localization problem of multipath propagation in complex indoor circumstance, a localization method of signal subspace matching based on fingerprint database is proposed by using small antenna array in the indoor environment. Compared to the RSSI, the signal subspace fingerprint can obtain better effect by utilizing more space information. The received signal from each array is firstly processed with self-correlation and it's eigenvalue decomposed to create the signal subspace fingerprint. Location is then determined by the smallest angle between the received signal subspace and the fingerprint database. Simulation results show that the proposed algorithm has made a great improvement in localization accuracy.
引用
收藏
页码：1132 / 1135
页数：4
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