From theory to practice: Implementations issues for techniques based on AoA and TDoA

Sánchez, Tibisay; Gómez, Cristina; Betancur, Leonardo; García, Andres F.; Hincapié, Roberto

doi:10.1109/eatis.2016.7520137

Cited by 5 publications

(2 citation statements)

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“…The TOA-based factor graph (TFG) also provides rough estimation of position which helps to find out the spot [3]. Radio direction finding (RDF) techniques particularly Angle of Arrival (AoA) and radio localization technique named Time Difference of Arrival (TDoA) algorithms is used to estimate the position of objects in non-collaborative scenarios [4]. Advance TOA trilateration algorithms such as the line intersection algorithm also shows good performance for general cases.…”

Section: Introductionmentioning

confidence: 99%

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Time of Arrival (TOA) Based Radiolocation Architecture in CDMA Systems and Its Performance Analysis

Ahmed¹,

Hossain²,

Ullah³

2018

IJCCE

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A popular approach, called as Radiolocation, measures parameters of radio signals that travel between a Mobile Station (MS) and a set of fixed transceivers, which are subsequently used to derive the location estimation of MS. The purpose of this research was to investigate the performance of Time of Arrival (TOA) based Radiolocation approach for finding the location of MS in the CDMA cellular networks. Another aim was to find out suitable location estimation algorithm using measured parameters by Radiolocation approach. Finally, the accuracy of the Radiolocation was examined by comparing two different location estimation algorithms. Two different algorithms for position estimation methods, named as Neural Networks and Least Square algorithms, were used to determine the location of MS. The simulation results suggested that the Neural Network algorithm provides better accuracy in position estimation which were depicted by supportive simulation results in the article.

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Section: Introductionmentioning

confidence: 99%

“…above a neuron structure is shown. The inputs are marked by x 1 , x 2 , x 3 , x4 and each of the inputs are weighted by corresponding weights w11, w12……………w44 of the weight W…”

mentioning

confidence: 99%