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Improved Weighted Least Squares Algorithm for Hybrid AOA and TDOA Localization

Symposium on Software Performance, 2023
This paper develops a new hybrid AOA and TDOA localization algorithm. The most promising hybrid AOA and TDOA localization algorithm currently available is a weighted least squares (WLS) estimator, in which the AOA measurements are multiplied by the TDOA ...
Yanbin Zou   +3 more
semanticscholar   +1 more source

ADMM-Based TDOA Estimation

IEEE Communications Letters, 2018
Accurate estimation of time difference of arrival (TDOA) between sensors is a fundamental problem in various applications of sensor networks. In this letter, a novel algorithm is proposed to estimate TDOAs based on low-rank essence of a TDOA matrix, whose entry $(i,j)$ denotes TDOA value between sensors $i$ and $j$ with respect to a ...
Yanping Zhu   +5 more
openaire   +1 more source

TDOA-Based Robust Sound Source Localization With Sparse Regularization in Wireless Acoustic Sensor Networks

IEEE/ACM Transactions on Audio Speech and Language Processing, 2022
Time difference of arrival (TDOA) measurements, which are contaminated by large values of error, known as outliers, would have a significant impact on the accuracy of sound source localization (SSL) in wireless acoustic sensor networks (WASNs).
Xudong Dang   +3 more
semanticscholar   +1 more source

TDOA Positioning Based on Factor Graphs

2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, 2006
In this paper, we introduce a factor graph based positioning algorithm in wireless cellular networks using time difference of arrival (TDoA) measurements provided by the base stations. The localization process of the mobile station results in a non-linear estimation problem which cannot be solved analytically.
Mensing, Christian, Plass, Simon
openaire   +2 more sources

TDOA Positioning Irrespective of Source Range

IEEE Transactions on Signal Processing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Yue, Ho, K. C.
openaire   +1 more source

TDOA Localization in Asynchronous WSNs

2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, 2014
This paper proposes a procedure based on time-difference of arrival measurements to localize a blind node in an asynchronous network where a set of nodes with known position is present. The proposed method computes the time-difference of arrival of each transmitted signal to any pair of receiving nodes in order to get rid of the unknown transmission ...
BANDIERA, Francesco   +4 more
openaire   +1 more source

A Maximum-Likelihood TDOA Localization Algorithm Using Difference-of-Convex Programming

IEEE Signal Processing Letters, 2021
A popular approach to estimate a source location using time difference of arrival (TDOA) measurements is to construct an objective function based on the maximum likelihood (ML) method.
Xiuxiu Ma   +4 more
semanticscholar   +1 more source

Calibration-free TDOA self-localisation

Journal of Location Based Services, 2013
We present an approach for the localisation of passive receiver nodes in a communication network. The only source of information is the time when environmental sound or ultrasound signals are received. The discrete signals occur at unknown positions and times, but they can be distinguished.
Wendeberg, Johannes   +3 more
openaire   +2 more sources

Selection of Reference Base Station for TDOA-based Localization in 5G and Beyond IIoT

2022 IEEE Globecom Workshops (GC Wkshps), 2022
Location awareness is fundamental for several applications operating in fifth generation (5G) and beyond wireless networks. To provide accurate localization in 5G networks, time difference-of-arrival (TDOA) measurements are commonly employed.
Gianluca Torsoli, M. Win, A. Conti
semanticscholar   +1 more source

Wireless Localization Using TDOA-DOA

International Journal on Communications Antenna and Propagation (IRECAP), 2015
This paper describes a hybrid estimate DOA/TDOA (Direction of Arrival/Time Difference of Arrival) location estimation method based on the Multiple Signal classification MUSIC algorithm. The method utilized estimates the Direction (Angle) of Arrival (DOA) and Time Difference of Arrival (TDOA).
Nadhem Nemri   +4 more
openaire   +1 more source

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