Hybrid TOA/AOA Geometrical Positioning Schemes for Mobile Location

Chen, Chien Sheng; Su, Szu Lin; Huang, Yih Fang

doi:10.1587/transcom.e92.b.396

Cited by 25 publications

(23 citation statements)

References 8 publications

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“…The weight of the feasible intersections can be determined by our proposed methods, such as distanceweighted method, sort-averaging, sort-weighted and threshold method. Please refer to [2] and [3] for details of these methods. These methods are much less difficult since there is no need to compute the intersections of circles.…”

Section: Proposed Hybrid Toa/aoa Methodsmentioning

confidence: 99%

“…If both the TOA and AOA measurements are accurate, only one BS is required to locate the MS [2]. In reality, TOA and AOA measurements contain errors due to NLOS propagation.…”

Section: Taylor Series Algorithm (Tsa) and Hybrid Lines Of Position Amentioning

confidence: 99%

“…In [1] Sprito proposed the combination of TDOA and TOA, and showed that it is better than pure TDOA on the location estimation in GSM systems. If two BSs can provide both TOA and AOA measurements simultaneously, we have proposed the geometrical positioning methods utilizing the intersection of two circles and two lines to estimate MS location [2]. In addition, we expanded the methods in [2] to locate MS when three BSs are available for location purposes [3].…”

Section: Introductionmentioning

confidence: 99%

“…If two BSs can provide both TOA and AOA measurements simultaneously, we have proposed the geometrical positioning methods utilizing the intersection of two circles and two lines to estimate MS location [2]. In addition, we expanded the methods in [2] to locate MS when three BSs are available for location purposes [3]. TOA measurements from three BSs and the AOA information at the serving BS can be used to give a location estimate of the MS.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Proposed Hybrid Toa/aoa Methodsmentioning

confidence: 99%

“…If both the TOA and AOA measurements are accurate, only one BS is required to locate the MS [2]. In reality, TOA and AOA measurements contain errors due to NLOS propagation.…”

Section: Taylor Series Algorithm (Tsa) and Hybrid Lines Of Position Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Geometrical Positioning Schemes Based on Hybrid Lines of Position

Chen

Lin

Liu

et al. 2012

IEICE Trans. Inf. & Syst.

Self Cite

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“…To improve the accuracy of MS location, it is reasonable to integration two or more schemes give location estimation of the MS. We have proposed hybrid geometrical positioning schemes to estimate MS location under the condition that the MS can be heard by only two BSs in [1]. In this paper, we apply the hybrid geometrical positioning schemes to locate MS when five BSs are available for location purposes.…”

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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The Accuracy Enhancements of Virtual Antenna for Location Based Services

Tao

Huang

2010

Web Information Systems and Mining

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Hybrid TOA/AOA Geometrical Positioning Schemes for Mobile Location

Cited by 25 publications

References 8 publications

Geometrical Positioning Schemes Based on Hybrid Lines of Position

Geometrical Positioning Schemes Based on Hybrid Lines of Position

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

The Accuracy Enhancements of Virtual Antenna for Location Based Services

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