TDOA estimation using a pair of synchronized anchor nodes

2019 ◽  
Vol 11 (7) ◽  
pp. 593-601 ◽  
Author(s):  
Vitomir Djaja-Josko ◽  
Jerzy Kolakowski ◽  
Jozef Modelski
Keyword(s):  
Indoor Environment ◽  
Indoor Localization ◽  
Time Difference ◽  
Time Difference Of Arrival ◽  
System Architectures ◽  
Localization System ◽  
Position Determination ◽  
Positioning Errors ◽  
Anchor Nodes ◽  
Novel Method

AbstractNowadays, as indoor localization is getting more popular, there is a growing need for reliable and accurate techniques of position determination. Recently, ultrawideband (UWB)-based systems are gaining popularity, since they make achieving positioning errors in the range of dozens of centimeters or even single centimeters, possible. The Time Difference of Arrival (TDOA)-based systems are especially attractive because they allow to simplify tags, in which functionality can be limited to transmission of packets. However, one of TDOA-based solution drawbacks is a need for strict synchronization between anchor nodes, which may be hard to provide in indoor environment. In the paper, a novel method for simplifying synchronization in TDOA-based UWB localization system is described. The paper presents two system architectures based on pairs of synchronized nodes. Results of simulations and experiments included in the article allow for evaluation of both solutions.

scholarly journals An Indoor Localization System Using Residual Learning with Channel State Information

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 574
Author(s):  
Chendong Xu ◽  
Weigang Wang ◽  
Yunwei Zhang ◽  
Jie Qin ◽  
Shujuan Yu ◽  
...  
Keyword(s):  
Channel State Information ◽  
Indoor Environment ◽  
Indoor Localization ◽  
Location Based Services ◽  
Channel State ◽  
State Information ◽  
Localization Accuracy ◽  
Localization System ◽  
Increasing Demand ◽  
Degradation Problem

With the increasing demand of location-based services, neural network (NN)-based intelligent indoor localization has attracted great interest due to its high localization accuracy. However, deep NNs are usually affected by degradation and gradient vanishing. To fill this gap, we propose a novel indoor localization system, including denoising NN and residual network (ResNet), to predict the location of moving object by the channel state information (CSI). In the ResNet, to prevent overfitting, we replace all the residual blocks by the stochastic residual blocks. Specially, we explore the long-range stochastic shortcut connection (LRSSC) to solve the degradation problem and gradient vanishing. To obtain a large receptive field without losing information, we leverage the dilated convolution at the rear of the ResNet. Experimental results are presented to confirm that our system outperforms state-of-the-art methods in a representative indoor environment.

Algorithms for Acoustic Source Orientation Based on Microphone Array in Robot Audition

2013 ◽  
Vol 347-350 ◽  
pp. 922-926
Author(s):  
Ming Wang ◽  
Jian Hui Chen ◽  
Guang Long Wang ◽  
Feng Qi Gao ◽  
Ji Chen Li ◽  
...  
Keyword(s):  
Indoor Environment ◽  
Microphone Array ◽  
Time Difference ◽  
Acoustic Source ◽  
Time Difference Of Arrival ◽  
Orientation Process ◽  
Robot Audition ◽  
Three Stages ◽  
Source Orientation

Acoustic source orientation is an important feature in robot audition. This paper applied a spatial cone six-element (SCSE) microphone array and combined with the time difference of arrival (TDOA) between pairs of spatial separated microphones to estimate acoustic source orientation. Simulate three stages of the acoustic orientation process in a real indoor environment, and results show that the algorithm is simple and effective, reducing the amount of calculation, having anti-noise and reverberation ability to meet the requirements of orientation accuracy.

scholarly journals Method of Calculating Desynchronization of DVB-T Transmitters Working in SFN for PCL Applications

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5776
Author(s):  
Karol Klincewicz ◽  
Piotr Samczyński
Keyword(s):  
Digital Video ◽  
Time Difference ◽  
Target Localization ◽  
Single Frequency ◽  
Passive Radar ◽  
Time Difference Of Arrival ◽  
Digital Video Broadcasting ◽  
Video Broadcasting ◽  
Novel Method ◽  
Result Analysis

This paper presents a novel method of calculating desynchronization between transmitters working in a single frequency digital video broadcasting-terrestrial (DVB-T) network. The described method can be a useful tool for enhancing passive radar operations and improving passive coherent location (PCL) sensors to correct their measurements of target localization. The paper presents the problem of localizing DVB-T transmitters utilized by passive radars, and proposes a novel method based on Time Difference of Arrival (TDoA) techniques to solve the problem. The proposed technique has been validated using real signals collected by a PCL sensor receiver. The details of the experiment and extensive result analysis are also contained in this article.

INDOOR LOCALIZATION OF AN OMNI-DIRECTIONAL WHEELED MOBILE ROBOT

2013 ◽  
Vol 37 (4) ◽  
pp. 1043-1056 ◽  
Author(s):  
Sasha Ginzburg ◽  
Scott Nokleby
Keyword(s):  
Mobile Robot ◽  
Indoor Environment ◽  
Indoor Localization ◽  
Wheeled Mobile Robot ◽  
Fusion Algorithm ◽  
Distance Measurements ◽  
Localization System ◽  
Relative Localization ◽  
Position And Orientation ◽  
Improved Performance

This paper presents a localization system developed for estimating the pose, i.e., position and orientation, of an omni-directional wheeled mobile robot operating in indoor structured environments. The developed system uses a combination of relative and absolute localization methods for pose estimation. Odometry serves as the relative localization method providing pose estimates through the integration of measurements obtained from shaft encoders on the robot’s drive motors. Absolute localization is achieved with a novel GPS-like system that performs localization of active beacons mounted on the mobile robot based on distance measurements to receivers fixed at known positions in the robot’s indoor workspace. A simple data fusion algorithm is used in the localization system to combine the pose estimates from the two localization methods and achieve improved performance. Experimental results demonstrating the performance of the developed system at localizing the omni-directional robot in an indoor environment are presented.

Design of Ultra‐Wideband Localization System Based on Optimized Time Difference of Arrival Algorithm

2020 ◽  
Vol 15 (8) ◽  
pp. 1176-1182
Author(s):  
Li Zheng‐dong ◽  
Chen Xing‐jie ◽  
Li Xiu‐ling ◽  
Cai Juan ◽  
He Yan ◽  
...  
Keyword(s):  
Time Difference ◽  
Ultra Wideband ◽  
Time Difference Of Arrival ◽  
Localization System
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