Maximum-Likelihood Direct Position Estimation in Dense Multipath

The problem of localizing a transmitting source by observing the signal at several base stations (BSs) is considered. In this paper, a direct position estimation (DPE) algorithm for a dense multipath channel is formulated and analyzed, based on a Gaussian approximation. The algorithm provides robust...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2013-06, Vol.62 (5), p.2069-2079
Main Authors: Bialer, O., Raphaeli, D., Weiss, A. J.
Format: Article
Language:English
Subjects:
Applied sciences
Base stations
Cost function
Cramer-Rao bound (CRLB)
Delay
Detection, estimation, filtering, equalization, prediction
differential time of arrival (DTOA)
Exact sciences and technology
Information, signal and communications theory
location estimation
maximum likelihood
Maximum likelihood estimation
multipath
Noise
position estimation
Radiocommunications
Signal and communications theory
Signal, noise
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
time of arrival (TOA)
Transmission and modulation (techniques and equipments)
Transmitters. Receivers
Vectors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The problem of localizing a transmitting source by observing the signal at several base stations (BSs) is considered. In this paper, a direct position estimation (DPE) algorithm for a dense multipath channel is formulated and analyzed, based on a Gaussian approximation. The algorithm provides robust and accurate position estimation in a multipath environment, which is a challenging problem, particularly when the signal-to-noise ratio (SNR) is low and when the multipath is dense. It is shown that the DPE is superior to the common indirect approach. In the indirect approach, the time of arrival (TOA) is estimated independently at each BS, whereas in the DPE, all the received signals from all BSs are processed jointly. We show that the proposed algorithm approximates the maximum-likelihood (ML) solution. We treat TOA based on synchronized source and receivers and the differential TOA (DTOA) where only the receivers are synchronized. Analytic results for the performance of the algorithm are provided. Finally, simulations demonstrate the advantage of DPE over the indirect method at low SNR for various multipath channel models and that the analysis closely approximates the simulation results.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2012.2236895