On Optimal Placement of Short Range Base Stations for Indoor Position Estimation

Bais, Abdul; Kiwan, H.; Morgan, Yasser

doi:10.1016/s1665-6423(14)70595-4

Cited by 9 publications

(7 citation statements)

References 22 publications

(37 reference statements)

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“…where ( , , ) is the known aircraft position and (̂,̂,̂) is the estimated aircraft position at the n-th Monte Carlo simulation realization ( = 100). For the analysis, the squared GRS configuration is considered which has been shown in [1,17] to produce the best PE performance. The distribution of the GRS is shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

Effect of Path Loss Propagation Model on the Position Estimation Accuracy of a 3-Dimensional Minimum Configuration Multilateration System

Yaro

Sha’ameri

2018

IJIE

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The 3-Dimensional (3-D) position estimation (PE) accuracy of a multilateration (MLAT) system depends on several factors one of which is the accuracy at which the time difference of arrival (TDOA) measurements are obtained. In this paper, signal attenuation is considered to be the major contributor to the TDOA estimation error and its effect based on path loss propagation model on the PE accuracy of the MLAT system is determined. The two path loss propagation models considered are: Okumura-Hata and the free space path loss (FSPL) model. The transmitter and receiver parameters used for the analysis are based on actual system used in the civil aviation surveillance. Monte Carlo simulation result based on square ground receiving station (GRS) configuration and at some randomly selected aircraft positions show that the MLAT system with the Okumura-Hata model has the highest PE error. The horizontal coordinate and altitude errors obtained considering the Okumura-Hata are 2.5 km and 0.6 km respectively higher than that obtained with the FSPL model.

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Section: Resultsmentioning

confidence: 99%

Effect of Path Loss Propagation Model on the Position Estimation Accuracy of a 3-Dimensional Minimum Configuration Multilateration System

Yaro

Sha’ameri

2018

IJIE

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“…The first one is to place the base station so that each point of the positioning area is covered by at least 4 base stations at the same time. The second is to reduce the GDoP (Geometric Dilution of Precision), thereby reducing the average positioning error of the space [9]. The location selection of base station in space is always regarded as NP-hard problem [10].…”

Section: Related Workmentioning

confidence: 99%

“…The location selection of base station in space is always regarded as NP-hard problem [10]. Finding the best base station layout scheme is still challenging, even if the search space is roughly represented, the enumeration search is invalid [9]. Therefore, this type of problem only solves approximate or suboptimal solutions [11].…”

Section: Related Workmentioning

confidence: 99%

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A fusion optimization algorithm of network element layout for indoor positioning

Wang

et al. 2019

J Wireless Com Network

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The indoor scene has the characteristics of complexity and Non-Line of Sight (NLOS). Therefore, in the application of cellular network positioning, the layout of the base station has a significant influence on the positioning accuracy. In three-dimensional indoor positioning, the layout of the base station only focuses on the network capacity and the quality of positioning signal. At present, the influence of the coverage and positioning accuracy has not been considered. Therefore, a network element layout optimization algorithm based on improved Adaptive Simulated Annealing and Genetic Algorithm (ASA-GA) is proposed in this paper. Firstly, a three-dimensional positioning signal coverage model and a base station layout model are established. Then, the ASA-GA algorithm is proposed for optimizing the base station layout scheme. Experimental results show that the proposed ASA-GA algorithm has a faster convergence speed, which is 16.7% higher than the AG-AC (Adaptive Genetic Combining Ant Colony) algorithm. It takes about 25 generations to achieve full coverage. At the same time, the proposed algorithm has better coverage capability. After optimization of the layout of the network element, the effective coverage rate is increased from 89.77 to 100% and the average location error decreased from 2.874 to 0.983 m, which is about 16% lower than the AG-AC algorithm and 22% lower than the AGA (Adaptive Genetic Algorithm) algorithm.

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“…This means the accuracy in the PE depends on the GRS configuration. Several studies are carried out on the best GRS configuration for high PE accuracy [14,[30][31][32]. For a few GRSs of 4 or less, simple configurations such as squares and equilateral triangles result in better PE accuracy.…”

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confidence: 99%

Position Estimation Error Performance Model for a Minimum Configuration 3-D Multilateration

Yaro¹,

Sha’ameri²,

Kamel³

2018

IJEEI

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A multilateration system estimates the position of emitter using time difference of arrival (TDOA) measurements with a lateration algorithm. It involves solving a set of hyperbolic plane equations to determine the position of the emitter given the TDOA measurements that corresponds to the path difference (PD) measurement in distance. A performance model is developed using the relative maximum error bound (RMEB) which relates the plane equation condition number, the relative ground receiving station (GRS) geometry and the PD measurement error to estimate the position estimation (PE) error. By using air traffic monitoring for civil aviation as an application, Monte Carlo simulation verifies the PE error of the performance model for a square GRS configuration. The coverage assumed a 360 0 bearing, a range of up to 200 km and a maximum altitude of 15 km. Simulation results also show that the performance model estimates the horizontal position error with a maximum absolute error of 0.1 km up to a range of 200 km at an altitude of 15 km and a minimum absolute error of 0.2 km at an altitude of 15 km.

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On Optimal Placement of Short Range Base Stations for Indoor Position Estimation

Abstract: How to citeComplete issue More information about this article Journal's homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative

Cited by 9 publications

References 22 publications

Effect of Path Loss Propagation Model on the Position Estimation Accuracy of a 3-Dimensional Minimum Configuration Multilateration System

Effect of Path Loss Propagation Model on the Position Estimation Accuracy of a 3-Dimensional Minimum Configuration Multilateration System

A fusion optimization algorithm of network element layout for indoor positioning

Position Estimation Error Performance Model for a Minimum Configuration 3-D Multilateration

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