Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing
Sensors, 2023 This paper presents a method for estimating the position of a target under jammed conditions using the Time Difference of Arrival (TDOA) method. The algorithm utilizes a deep neural network to overcome the challenges posed by the jammed conditions.
Jakub Gotthans +2 more
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Comparative Performance Analysis of Time Local Positioning Architectures in NLOS Urban Scenarios
IEEE Access, 2020 Autonomous navigation has meant a challenge for traditional positioning systems. As a consequence, ad-hoc deployments of sensors for addressing particular environment characteristics have emerged known as Local Positioning Systems (LPS). Among LPS, those
Ruben Alvarez +3 more
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Semidefinite Programming Algorithms for 3-D AOA-Based Hybrid Localization
IEEE Open Journal of Signal Processing, 2023 By taking different kinds of measurements at the same time, it may be possible to improve the accuracy of target localization or reduce the number of sensors needed.
Yanbin Zou
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Time difference of arrival (TDOA) estimation using wavelet based denoising [PDF]
, 1999 The localization of mobile wireless communication units is studied. The most important method of localization is the time difference of arrival (TDOA) method. The wavelet transform is used to increase the accuracy of TDOA estimation.
Aktas, Unal.
core +2 more sources
A two‐stage iterative method for short‐wave source localisation
IET Radar, Sonar & Navigation, 2023 Short‐wave source localisation has an important role in many fields. A two‐stage iterative algorithm is proposed based on the ionospheric virtual height (IVH) model using the direction of arrival (DOA) and time difference of arrival (TDOA) measurements ...
Linqiang Jiang +4 more
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Optimal Sensor Deployment and Velocity Configuration With Hybrid TDOA and FDOA Measurements
IEEE Access, 2019 Source localization based on the hybrid time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements from distributed sensors is an essential problem in wireless sensor networks (WSNs).
Weijia Wang +4 more
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A Hybrid AOA and TDOA-Based Localization Method Using Only Two Stations
International Journal of Antennas and Propagation, 2021 Target localization plays an important role in the application of radar, sonar, and wireless sensor networks. In order to improve the localization performance using only two stations, a hybrid localization method based on angle of arrival (AOA) and time ...
Xiaolong Li, Yi Xing, Zhenkai Zhang
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3D moving target tracking with measurement fusion of TDoA/FDoA/AoA
ICT Express, 2019 In this paper, we investigate the tracking of the 3D moving target when multiple measurements are available. We propose a particle filter-based 3D target tracking algorithm with measurement of time difference of arrival (TDoA), frequency difference of ...
Hyeondeog Seo +5 more
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Localization Using the Time Difference of Arrival (TDOA)
, 2022 The aim of this paper is to find the location of a signal source using time difference of arrival. The paper first defines time difference of arrival and how it can give us a unique solution.
Runtić, David
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A Model on Indoor Localization System Based on the Time Difference Without Synchronization
IEEE Access, 2018 Localization has emerged as an attractive solution to enable new business models that rely on location-based services in wireless networks for communication, sensing, and control. In particular, time difference-of-arrival (TDOA) is one of the widely used
Yuan Xue +4 more
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