Hybrid TOA/AOA techniques for mobile location in non-line-of-sight environments

Venkatraman, S.; Caffery, J.

doi:10.1109/wcnc.2004.1311556

Cited by 124 publications

(114 citation statements)

References 10 publications

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“…In WSN, distance measurement is the central step of localization algorithm. Distance information obtained TOA or RSSI inevitably contains a certain measurement error [19][20][21][22]. In the indoor environment, due to the block wall and indoor display, non-line-of-sight error inevitably exists.…”

Section: Geometric Dilution Of Precisionmentioning

confidence: 99%

Target Positioning with GDOP Assisted Nodes Selection Algorithm in Wireless Sensor Networks

Zhang

Wei

et al. 2014

International Journal of Distributed Sensor Networks

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In wireless sensor networks (WSN), the geometric distribution of anchor nodes has a significant influence on the positioning accuracy. Geometric dilution of precision (GDOP) can be used to measure the positioning precision of the localization system. In order to select the optimal node combination, traditional algorithms based on GDOP need to spend much time on calculating every possible combination of nodes. This paper proposes GDOP assisted nodes selection (GANS) algorithm to calculate GDOP value of the current geometric distribution. Sensor node's contribution to the overall GDOP value is adopted as the evaluation criteria. The nodes whose contribution value is greater than the threshold will be selected. The anchor nodes subset, which participates in the positioning, will be real-time determined. Simulation results show that the GANS algorithm can effectively reduce the energy consumption of the system, while the positioning accuracy has no obvious loss. Meanwhile, computational complexity is also obviously decreased.

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Section: Geometric Dilution Of Precisionmentioning

confidence: 99%

Target Positioning with GDOP Assisted Nodes Selection Algorithm in Wireless Sensor Networks

Zhang

Wei

et al. 2014

International Journal of Distributed Sensor Networks

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“…Due to NLOS error, the MS may be located at various intersections of different LOP and AOA line. [6].…”

Section: Introductionmentioning

confidence: 99%

Geometrical Positioning Schemes Based on Hybrid Lines of Position

Chen

Lin

Liu

et al. 2012

IEICE Trans. Inf. & Syst.

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SUMMARYTo achieve more accurate measurements of the mobile station (MS) location, it is possible to integrate many kinds of measurements. In this paper we proposed several simpler methods that utilized time of arrival (TOA) at three base stations (BSs) and the angle of arrival (AOA) information at the serving BS to give location estimation of the MS in non-line-of-sight (NLOS) environments. From the viewpoint of geometric approach, for each a TOA value measured at any BS, one can generate a circle. Rather than applying the nonlinear circular lines of position (LOP), the proposed methods are much easier by using linear LOP to determine the MS. Numerical results demonstrate that the calculation time of using linear LOP is much less than employing circular LOP. Although the location precision of using linear LOP is only reduced slightly. However, the proposed efficient methods by using linear LOP can still provide precise solution of MS location and reduce the computational effort greatly. In addition, the proposed methods with less effort can mitigate the NLOS effect, simply by applying the weighted sum of the intersections between different linear LOP and the AOA line, without requiring priori knowledge of NLOS error statistics. Simulation results show that the proposed methods can always yield superior performance in comparison with Taylor series algorithm (TSA) and the hybrid lines of position algorithm (HLOP). key words: time of arrival (TOA), angle of arrival (AOA), non-line-of-sight (NLOS)

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“…The proposed positioning methods are based on the weighted sum of the intersections of five TOA circles and the AOA line. Simulation results show that the proposed methods always achieve better location accuracy than Taylor series algorithm (TSA) [2] [3] and the hybrid lines of position algorithm (HLOP) [4].…”

Section: Introductionmentioning

confidence: 99%

Non-Line-of-Sight Error Mitigation in Wireless Communication Systems

Shou³

et al. 2011

AEF

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Abstract. When there is non-line-of-sight (NLOS) path between the mobile station (MS) and base stations (BSs), it is possible to integrate many kinds of measurements to achieve more accurate measurements of the MS location. This paper proposed hybrid methods that utilize time of arrival (TOA) at five BSs and angle of arrival (AOA) information at the serving BS to determine the MS location in NLOS environments. The methods mitigate the NLOS effect simply by the weighted sum of the intersections between five TOA circles and the AOA line without requiring priori knowledge of NLOS error statistics. Simulation results show that the proposed methods always give superior performance than Taylor series algorithm (TSA) and the hybrid lines of position algorithm (HLOP).

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Hybrid TOA/AOA techniques for mobile location in non-line-of-sight environments

Cited by 124 publications

References 10 publications

Target Positioning with GDOP Assisted Nodes Selection Algorithm in Wireless Sensor Networks

Target Positioning with GDOP Assisted Nodes Selection Algorithm in Wireless Sensor Networks

Geometrical Positioning Schemes Based on Hybrid Lines of Position

Non-Line-of-Sight Error Mitigation in Wireless Communication Systems

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