Error bound analysis of indoor Wi-Fi location fingerprint based positioning for intelligent Access Point optimization via Fisher information

被引：19

作者：

Zhou, Mu ^{[1
]}

Qiu, Feng ^{[1
]}

Xu, Kunjie ^{[2
]}

Tian, Zengshan ^{[1
]}

Wu, Haibo ^{[3
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Mobile Commun Technol, Chongqing 400065, Peoples R China

[2] Ericsson, San Jose, CA 95134 USA

[3] Chinese Acad Sci, Comp Network Informat Ctr, China Internet Res Lab, Beijing 100190, Peoples R China

来源：

COMPUTER COMMUNICATIONS | 2016年 / 86卷

基金：

中国国家自然科学基金;

关键词：

Wi-Fi positioning; Location fingerprint; Error bound; Fisher information; Simulated annealing; FUNDAMENTAL LIMITS; LOCALIZATION;

D O I：

10.1016/j.comcom.2016.03.020

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We observe that the laborious collection of location fingerprints, that could also potentially change with time and space, remains a hurdle towards the widespread deployment of indoor and outdoor positioning systems using the Wi-Fi. Motivated by this, we focus on the error bound analysis of indoor Wi-Fi fingerprint based positioning for intelligent Access Point (AP) placement optimization by using the Fisher Information Matrix (FIM) to characterize the relationship between the positioning errors and signal distributions. We first derive the closed-form error bounds with respect to different system parameters. Second, we use the Simulated Annealing (SA) algorithm to conduct the Wi-Fi AP placement optimization towards the lowest error bounds. Finally, we present the detailed discussion, extensive simulation, and experiment results. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：57 / 74

页数：18

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