NLOS Error Mitigation for TOA-Based Localization via Convex Relaxation

In this paper, we address the time-of-arrival (TOA) based localization problem in an adverse environment, where line-of-sight (LOS) signal propagation between the source and the sensor is not readily available, in which case we have to resort to non-line-of-sight (NLOS) signals. Two convex relaxatio...

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Vydané v:	IEEE transactions on wireless communications Ročník 13; číslo 8; s. 4119 - 4131
Hlavní autori:	Gang Wang, Chen, H., Youming Li, Ansari, Nirwan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.08.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Applied sciences Error detection Errors Exact sciences and technology Localization Measurement uncertainty Methods Noise Noise measurement Position (location) Position measurement Radiocommunication specific techniques Radiocommunications Relaxation methods Robustness Sensors Simulation State of the art Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Wireless communication semidefinite programming second-order cone programming (SOCP) robust localization Non-line-of-sight time-of-arrival Performance evaluation Second order Line of sight propagation State of the art Measurement sensor Hostile environment Non line of sight propagation Data transmission Robust estimation Arrival time Relaxation Simulation Error detection Relaxation method Signal transmission Error correction Localization Transmission loss Software radio
ISSN:	1536-1276, 1558-2248
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Popis
Shrnutí:	In this paper, we address the time-of-arrival (TOA) based localization problem in an adverse environment, where line-of-sight (LOS) signal propagation between the source and the sensor is not readily available, in which case we have to resort to non-line-of-sight (NLOS) signals. Two convex relaxation methods, i.e., the semidefinite relaxation (SDR) and the second-order cone relaxation (SOCR) methods, are proposed to mitigate the effect of NLOS errors on the localization performance. We consider two separate cases in which the information of the NLOS status is totally unknown and perfectly known, respectively. The proposed methods can be applied without knowing the distribution of NLOS errors. Moreover, we propose a NLOS error mitigation method that is robust to detection errors, which are generated in the process of detecting NLOS paths. Simulation results show that the proposed convex relaxation methods outperform some existing state-of-the-art methods.
Bibliografia:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	1536-1276 1558-2248
DOI:	10.1109/TWC.2014.2314640