[1] |
陈锡剑, 程良伦 . 基于 RSSI的功率匹配定位算法的研究与实现[J]. 传感技术学报, 2013,26(5): 710-714.
|
|
CHEN X J , CHENG L L . Research and implementation of power matching algorithm based on RSSI[J]. Chinese Journal of Sensors and Actuators, 2013,26(5): 710-714.
|
[2] |
LU Y H , LAI C F . Path loss exponent estimation for indoor wireless sensor positioning[J]. KSII Transactions on Internet and Information Systems, 2010,4(3): 243-256.
|
[3] |
PATWARI N , HERO A O , PERKINS M . Relative location estimation in wireless sensor networks[J]. IEEE Transactions on Signal Processing, 2003,51(8): 2137-2147.
|
[4] |
叶蔚 . 室内无线定位的研究[D]. 广州: 华南理工大学, 2010.
|
|
YE W . Study on indoor wireless location[D]. Guangzhou: South China University of Technology, 2010.
|
[5] |
杨东勇, 顾东袁, 傅晓婕 . 一种基于RSSI相似度的室内定位算法[J]. 传感技术学报, 2009,22(2): 264-268.
|
|
YANG D Y , GU D Y , FU X J . An indoor location algorithm based on RSSI-similarity degree[J]. Chinese Journal of Sensors and Actuators, 2009,22(2): 264-268.
|
[6] |
刘鹏, 卢潭, 高翔 . 基于射频识别的室内定位技术综述[J]. 太赫兹科学与电子信息学报, 2014(2): 195-201.
|
|
LIU P , LU T C , GAO X . A survey of indoor location technology based on radio frequency identification[J]. Terahertz Science and Electronic Information, 2014(2): 195-201.
|
[7] |
梁莹 . INS/地磁匹配组合导航系统技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2010.
|
|
LIANG Y . Study of INS/geomagnetic matching integrated navigation system technologyn[D]. Harbin: Harbin Engineering University, 2010.
|
[8] |
王欣 . 基于地磁场和 RSSI 的室内定位算法设计与实现[D]. 杭州: 杭州电子科技大学, 2014.
|
|
WANG X . Design and implementation of indoor location algorithm based on geomagnetic field and RSSI[J]. Hangzhou: Hangzhou University of Electronic Science and Technology, 2014.
|
[9] |
JIANG S Y , PANG G S , WU M L . An improved K-nearest-neighbor algorithm for text categorization[J]. Expert Systems with Applications, 2012,29(1): 1503-1509.
|
[10] |
詹杰, 刘宏立, 刘述钢 , 等. 基于 RSSI的动态权重定位算法研究[J]. 电子学报, 2011,39(1): 82-88.
|
|
ZHAN J , LIU H L , LIU S G , et al. Study algorithm based RSSI's dynamic weights location[J]. Journal of Electronics, 2011,39(1): 82-88.
|
[11] |
HUANG C N , CHAN C T . ZigBee-based indoor location system by k-nearest neighbor algorithm with weighted RSSI[J]. Procedia Computer Science, 2011(5): 58-65.
|