Parameterized TDOA: TDOA estimation for mobile target localization in a time-division broadcast positioning system
Chenxin Tu, Xiaowei Cui, Gang Liu, Sihao Zhao, Mingquan Lu

TL;DR
This paper introduces a novel P-TDOA method for mobile target localization in TDBPS, enabling concurrent TDOA estimation from sequential measurements, thus allowing classical TDOA techniques to be applied effectively.
Contribution
The paper proposes a new polynomial-based P-TDOA estimation method that approximates time-varying TDOA, bridging the gap between sequential measurements and the need for concurrent TDOA estimates.
Findings
P-TDOA closely approaches the CRLB under certain conditions.
Numerical simulations show substantial improvements over existing methods.
The method enables classical TDOA techniques to be used for mobile targets.
Abstract
In a time-division broadcast positioning system (TDBPS), localizing mobile targets using classical time difference of arrival (TDOA) methods poses significant challenges. Concurrent TDOA measurements are infeasible because targets receive signals from different anchors and extract their transmission times at different reception times, as well as at varying positions. Traditional TDOA estimation schemes implicitly assume that the target remains stationary during the measurement period, which is impractical for mobile targets exhibiting high dynamics. Existing methods for mobile target localization are mostly specialized and rely on motion modeling and do not rely on the concurrent TDOA measurements. This issue limits their direct use of the well-established classical TDOA-based localization methods and complicating the entire localization process. In this paper, to obtain concurrent TDOA…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Distributed Sensor Networks and Detection Algorithms · Target Tracking and Data Fusion in Sensor Networks
