Results 171 to 180 of about 4,828 (221)

Improvement of Wireless Localization Precision Using Chirp Signals. [PDF]

Sensors (Basel)
Kim KT, Kim KY, Shin Y.
europepmc   +1 more source

Cooperative Tracking of Vessel Trajectory by Multi-Static Passive Stations Using an MC-RMPF. [PDF]

Sensors (Basel)
Liu B, Kong L, Wu P.
europepmc   +1 more source

Multi-target passive positioning with signal classification and MIMO radar. [PDF]

Sci Rep
Wang H, Liu X, Lei Z.
europepmc   +1 more source

Distributed Passive Positioning and Sorting Method for Multi-Network Frequency-Hopping Time Division Multiple Access Signals. [PDF]

Sensors (Basel)
Mao J, Luo F, Hu X.
europepmc   +1 more source

An improved grey wolf algorithm and its localization research in complex indoor environments. [PDF]

Sci Rep
Li B, Hao Y, Cui Y, Chai X, Zhou J, Liu C.   +5 more
europepmc   +1 more source

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TDAoA: A combination of TDoA and AoA localization with LoRaWAN

Internet of Things (Netherlands), 2020
Abstract Location-based services are an essential aspect of many Internet of Things (IoT) applications. Due to low power requirements that these applications impose on their end devices, classic GNSS solutions are replaced by wireless localization via Low Power Wide Area Networks (LPWAN), e.g.
Noori Bnilam, Michiel Aernouts, Rafael Berkvens   +2 more
exaly   +3 more sources

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.
Fabian Höflinger, Leonhard Reindl, Christian Schindelhauer   +2 more
exaly   +3 more sources

A Moving Source Localization Method Based on TDOA and TDOA Rate

2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2021
In this paper, a novel moving source localization method based on arrival time measurement is proposed. Firstly, the time difference of arrival (TDOA) and its change rate are estimated from the time of arrival (TOA) sequences. Then an initial solution of position and velocity is obtained by applying the well-known two-step weighted least-squares (TSWLS)
Xuefeng Feng, Zhen Huang 0008, Jiazhi He, Lei Shi   +3 more
openaire   +1 more source

A Joint TDOA-PDOA Localization Approach Using Particle Swarm Optimization [PDF]

IEEE Wireless Communications Letters, 2020
Estimating the location of a target is essential for many applications such as asset tracking, navigation, and data communications. Time-difference-of-arrival (TDOA) based localization has the main advantage that it does not require synchronization ...
Tareq Al-Naffouri, Nasir Saeed, Hui Chen   +2 more
exaly   +2 more sources

Performance analysis and comparison for TDOA and DTDOA

2021 3rd International Conference on Information Technology and Computer Communications, 2021
Demand for real-time and high-resolution positioning systems increases dramatically as the self-driving technology goes into application rapidly since the accuracy of GPS cannot meet the requirement. Non-satellite positioning technology is an attractive one in some traffic scenarios, in which an important problem is how to calculate the target position.
Jie Liu, Minjia Hu, Momiao Zhou, Zhizhong Ding   +3 more
openaire   +1 more source