Paper Info
Title
A Measurement-Division Model For Tdoa-Based Source Bearing Estimation With Unknown Propagation Speed
Abstract
This paper focuses on the bearing estimation problem of far-field signal source via time-difference-of-arrival (TDOA) with a synchronized array in 3-D space. It is usually assumed that the propagation speed (PS) is perfectly known in localization. In reality, only an imperfect knowledge of PS could be obtained. The traditional closed-form solutions without involving PS have the advantage of low complexity, but suffer from low estimation accuracy. A measurement-division model is proposed to offer an alternative solution without the need of the propagation speed. This speed-free model combines two original TDOA measurement equations into a division formula, whose Cramer-Rao lower bound (CRLB) is derived for the observed data. A typical optimization method, i.e. the Levenberg-Marquardt (LM) algorithm is adopted to resolve the nonlinear measurement-division model, resulting in an estimation accuracy improvement because of its iterative search behavior. The theoretical performance of this solution is evaluated in terms of bias and covariance. Simulations are conducted to demonstrate an accuracy advantage of the solution over the related methods.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2951490
IEEE ACCESS
Keywords
DocType
Volume
Direction-of-arrival estimation, Estimation, Mathematical model, Data models, Optimization, Analytical models, Sensor arrays, Bearing estimation, Levenberg-Marquardt, measurement-division, propagation speed, sensor array, speed-free, time-difference-of-arrival
Journal
7
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Xunxue Cui100.34
Kegen Yu255657.05
Baiting Zhao301.01