Toward Emergency Indoor Localization: Maximum Correntropy Criterion Based Direction Estimation Algorithm for Mobile TOA Rotaion Anchor

被引：7

作者：

Xu, Liyuan ^{[1
,2
]}

He, Jie ^{[1
,3
]}

Wang, Peng ^{[1
,4
]}

Pahlavan, Kaveh ^{[2
]}

Ning, Huangsheng ^{[1
]}

Wang, Qin ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China

[2] Worcester Polytech Inst, Dept Elect & Comp Engn, Worcester, MA 01609 USA

[3] Beijing Key Lab Knowledge Engn Mat Sci, Beijing 100083, Peoples R China

[4] Sunkaisens Beijing Technol Ltd, Beijing 100071, Peoples R China

来源：

IEEE ACCESS | 2018年 / 6卷

基金：

北京市自然科学基金; 国家重点研发计划;

关键词：

Time of arrival estimation; direction of arrivals estimation; rotation measurement; emergency services; position measurement; MODEL SELECTION; ERROR; MULTIPATH; UWB; PERFORMANCE; PARAMETERS; NETWORK; ARRIVAL; TIME;

D O I：

10.1109/ACCESS.2018.2850967

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To find the relative positional relationship accurately and efficiently without pre-installed infrastructure in emergent scenarios like firefighting, we proposed a rotating-anchor based indoor geolocation system using time of arrival (TOA) technique in this paper. In this system, the positioning problem is regarded as a template-matching problem to estimate direction of the target. Based on preliminary results, further measurements that the tester held the locator and turned around continuously without any stop. The TOA ranging error for continuous rotation measurement was analyzed and proved to follow non-Guassian with impulsive characteristic in this paper. According to such error characteristics, a direction estimation algorithm of maximum correntropy criterion-based matching algorithm was proposed in this paper. The performance of algorithm was validated by comparing with the least mean square and least mean p-norm with empirical measurements.

引用

页码：35867 / 35878

页数：12