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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Veröffentlicht in:IEEE transactions on wireless communications Jg. 13; H. 8; S. 4119 - 4131
Hauptverfasser: Gang Wang, Chen, H., Youming Li, Ansari, Nirwan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.08.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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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Beschreibung
Zusammenfassung: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.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2014.2314640