A minimum entropy estimation based mobile positioning algorithm

The problem of locating a mobile terminal has received significant attention in the field of wireless communications. The wireless location problem is made difficult by nonsymmetric contamination of measured time of arrival (TOA) data caused by non-line-of-sight (NLOS) propagation. In this paper, a...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2009-01, Vol.8 (1), p.24-27
Main Authors: Sun, Guolin, Hu, Bo
Format: Article
Language:English
Subjects:
Algorithms
Antenna measurements
Applied sciences
Entropy
Errors
Estimators
Exact sciences and technology
Filtering
Intelligent transportation systems
Matlab
Minimum entropy estimation
mobile positioning
non-line of sight
Pollution measurement
Position (location)
Position measurement
Radio propagation
Robustness
Services and terminals of telecommunications
Statistics
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telemetry. Remote supervision. Telewarning. Remote control
Time measurement
Wireless communication
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Summary:The problem of locating a mobile terminal has received significant attention in the field of wireless communications. The wireless location problem is made difficult by nonsymmetric contamination of measured time of arrival (TOA) data caused by non-line-of-sight (NLOS) propagation. In this paper, a novel robust NLOS error mitigation algorithm based on minimum entropy estimation is proposed without prior statistics knowledge of NLOS propagation error.We compare the proposed algorithm with two additional ones, the normal least-squares estimator and the Huber estimator, through MATLAB simulation in different COST 259 channel environment. Results reveal that the proposed algorithm is more robust to NLOS error than the other two, although it is not always superior to the other two on location accuracy.
ISSN:1536-1276
1558-2248
DOI:10.1109/T-WC.2009.071039