Hybrid Real-Time and Preset Processing for Indoor Radio Geo-Location in Dense Multipath Environments
Hybrid Real-Time and Preset Processing for Indoor Radio Geo-Location in Dense Multipath Environments作者机构:Division of Physics Electrical and Computer Engineering Yokohama National University Yokohama Japan
出 版 物:《International Journal of Communications, Network and System Sciences》 (通讯、网络与系统学国际期刊(英文))
年 卷 期:2013年第6卷第1期
页 面:7-17页
学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统]
主 题:UWB Signaling Node Localization Target Tracking Fingerprinting TOA NLOS
摘 要:The existence of various geo-location applications and their accuracy requirements enhance the necessities for suitable processing techniques to solve the indoor geo-location problems. Since, Impulse Radio Ultra-Wideband (IR-UWB) signals have very short duration pulses;they can provide very accurate ranging and geo-location capability in short range indoor radio propagation environments. Our research puts emphasis on indoor geo-location using UWB signaling considering both of non line-of-sight (NLOS) and LOS radio propagation environments. In this paper, we introduce and investigate a noble approach which makes a hybrid combination of Channel Impulse Response (CIR)-based finger-printing (FP) method with polygonal arrangement of reference nodes (or tags) and an iterative-TOA based real-time geo-location method using UWB signaling for wireless ad hoc networks. The proposed hybrid approach assures significant improvement in positioning accuracy compared to TOA only, FP only and conventional iterative-TOA geo-location methods by mitigating NLOS errors effectively in the indoor environment. Besides, this hybrid approach minimizes the calculation complexity of the FP method while maintaining improved geo-location accuracy in the dense multipath propagation environment.