An efficient algorithm for mobile objects localization

Salamah, Muhammed; Doukhnitch, Evgueni

doi:10.1002/dac.892

Cited by 9 publications

(19 citation statements)

References 7 publications

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“…This can be achieved by using the XY plane of the reference frame as the base plane, or making one coordinate axis coincide with the baseline between two stations, and locating the origin at one station [24]. In this case, for 3D space we can generalize a simple hardware-oriented approach as in Salamah and Doukhnitch's [4] where a new computational method was adopted using simple add-shift operations to find the position of a mobile object in 2D space.…”

Section: Related Workmentioning

confidence: 99%

“…Though we have used a similar approach [4], it was for a 2D trilateration system. To solve a 3D trilateration problem with the previously suggested procedure is not straightforward, because of the greater number of possible variants of conditions to control this process as will be clear from Section 4.1.…”

Section: Related Workmentioning

confidence: 99%

“…However, the steps are performed in a completely different way. The main idea is to use vectors rotations [4].…”

Section: The Proposed Approachmentioning

confidence: 99%

“…Moreover, it is obvious that a simpler and faster algorithm always reduces the complexity in terms of time, chip area, and power consumption [4]. This improves the quality of automatic control of a mobile object.…”

Section: Introductionmentioning

confidence: 98%

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An efficient approach for trilateration in 3D positioning

Doukhnitch

Salamah

Özen

2008

Computer Communications

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…However, the steps are performed in a completely different way. The main idea is to use vectors rotations [4].…”

Section: The Proposed Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

An efficient approach for trilateration in 3D positioning

Doukhnitch

Salamah

Özen

2008

Computer Communications

Self Cite

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“…A general approach to wireless location is to gather time of arrival measurements [1][2][3], time difference of arrival measurements [4], or received signal strength measurements [5] from a number of base stations (BSs) and to estimate user locations with different approaches. However, measurements are significantly biased in non-line-of-sight (NLOS) environment.…”

Section: Introductionmentioning

confidence: 99%

Single threshold optimization and a novel double threshold scheme for non‐line‐of‐sight identification

Liu

2012

Int J Communication

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SUMMARYNon-line-of-sight (NLOS) identification is a critical issue in wireless location system. The traditional method only considers the probability of false alarm to obtain the single threshold to identify the wireless propagation environment as line of sight (LOS) or NLOS. However, the probability of missed detection is rarely discussed. In this paper, firstly, the optimal single threshold is derived through minimizing the total error probability, which is the sum of the probability of false alarm and the probability of missed detection. Further, if the prior probabilities for the LOS and NLOS environment are available, a novel double threshold method based on the optimal single threshold is proposed to perform NLOS identification. By comparing the total error probability, we show through simulation results that the performance of the optimal single threshold is better than that of the traditional single threshold. Moreover, the novel double threshold NLOS identification scheme is feasible and better than the optimal single threshold scheme. It is also shown that the analytical results are consistent with the simulated ones.

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Two base station location techniques with adjusted measurements in circular scattering environments

Tan

et al. 2015

Int J Communication

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Summary In circular scattering environments, novel location techniques with only two base stations (BSs) are proposed in this paper. The proposed techniques estimate the true or line‐of‐sight ranges and angle based on non‐line‐of‐sight range and angle measurements. Three new variables are introduced when range measurements and angle measurement are available from two BSs and the serving BS, respectively. Bounds and relationships between the three variables are extracted from the geometry of the cell layout with the unknown and known scattering radius conditions, respectively. Our aim is to obtain the estimation of three new variables and then the hybrid line of position technique with the adjusted ranges, and angle is utilized to obtain the position estimation of a mobile station. In order to obtain the estimation of three new variables, a new nonlinear objective function is built to form the constrained nonlinear optimization and solved by the existing optimization algorithms. However, because of the nonconvex objective function, the optimization algorithm may converge to the local optimum and lead to bad performance. Thus, a heuristic search algorithm is proposed by averaging all the potential point. Simulation results show that the proposed techniques outperform conventional hybrid techniques. Copyright © 2015 John Wiley & Sons, Ltd.

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An efficient algorithm for mobile objects localization

Cited by 9 publications

References 7 publications

An efficient approach for trilateration in 3D positioning

An efficient approach for trilateration in 3D positioning

Single threshold optimization and a novel double threshold scheme for non‐line‐of‐sight identification

Two base station location techniques with adjusted measurements in circular scattering environments

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