Hybrid localization of an emitter by combining angle-of-arrival and received signal strength measurements

Chan, Y.T.; Chan, François; Read, William J.; Jackson, Brad R.; Lee, B.H.

doi:10.1109/ccece.2014.6900968

Cited by 50 publications

(50 citation statements)

References 16 publications

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“…Significant progress has been made in developing centralized range/angle localization algorithms, for both noncooperative [5]- [8] and cooperative localization [9]. In [5], linear least squares (LS) and optimization based estimators were studied.…”

Section: Introductionmentioning

confidence: 99%

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Distributed RSS-AoA Based Localization With Unknown Transmit Powers

Tomic

Beko

Dinis

2016

IEEE Wireless Commun. Lett.

110

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Abstract-This letter addresses the hybrid range/angle-based target localization problem in a cooperative 3-D wireless sensor network where no central processor is available. Due to battery exhaust over time, sensors' transmit powers are assumed different and unknown. Range and angle measurements are drawn from the received signal strength and angle-of-arrival models, respectively. By exploiting the measurement models, we derive a novel local-estimator by which each target updates its own estimate, based on the least squares criterion. Second-order cone relaxation technique is then applied to approximately solve the attained problem due to its non-convex nature. Our simulation results show that the proposed algorithm efficiently solves the localization problem.Index Terms-Wireless localization, distributed localization, received signal strength (RSS), angle-of-arrival (AoA), second-order cone programming (SOCP), wireless sensor network (WSN).

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Section: Introductionmentioning

confidence: 99%

“…In [7], a selective weighted LS (WLS) estimator for RSS/AoA localization problem was proposed. Another WLS estimator for RSSD/AoA localization problem was presented in [8]. An estimator based on semidefinite relaxation technique where triplets of points were used to obtain the angle measures was proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

Distributed RSS-AoA Based Localization With Unknown Transmit Powers

Tomic

Beko

Dinis

2016

IEEE Wireless Commun. Lett.

110

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“…The range-based localization assumes that each anchor node is able to have the positions of the node and RSS as well as the AOA of the received signals and, hence, theoretically, the exact location of the target is attainable. However, the errors in RSS/AOA measurements are severe, and sophisticated integration of the RSS and AOA measurements has been investigated [17][18][19][20][21][22][23]. The challenge of the range-based localization algorithms is to overcome the limitation of the noisy RSS/AOA measurements with a practical computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks

Kang

Kim

Chung

2020

Sensors

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We present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks. We approximated linear WLS errors via second-order Taylor approximation, and further approximated the error covariance matrix using a least-squares solution and the variance in measurement noise over the sensor nodes. The algorithm does not require any prior knowledge of the true target position or noise variance. Simulations validated the superior performance of our new method.

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“…On the one hand, existence of a central processor (sensor or a base station) is required for the former approach. Central processor gathers all measurements via wireless transmissions and produces a map of the entire network [20]- [23]. However, in large-scale networks, a high energy drain is likely to occur at and near the central processor, caused by a bottlenecks [10].…”

Section: Introductionmentioning

confidence: 99%

Distributed algorithm for target localization in wireless sensor networks using RSS and AoA measurements

Tomic

Beko

Dinis

et al. 2017

Pervasive and Mobile Computing

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This paper addresses target localization problem in a cooperative 3-D wireless sensor network (WSN). We employ a hybrid system that fuses distance and angle measurements, extracted from the received signal strength (RSS) and angle-ofarrival (AoA) information, respectively. Based on range measurement model and simple geometry, we derive a novel non-convex estimator based on the least squares (LS) criterion. The derived non-convex estimator tightly approximates the maximum likelihood (ML) one for small noise levels. We show that the developed non-convex estimator is suitable for distributed implementation, and that it can be transformed into a convex one by applying a second-order cone programming (SOCP) relaxation technique. We also show that the developed non-convex estimator can be transformed into a generalized trust region subproblem (GTRS) framework, by following the squared range (SR) approach.

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Hybrid localization of an emitter by combining angle-of-arrival and received signal strength measurements

Cited by 50 publications

References 16 publications

Distributed RSS-AoA Based Localization With Unknown Transmit Powers

Distributed RSS-AoA Based Localization With Unknown Transmit Powers

Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks

Distributed algorithm for target localization in wireless sensor networks using RSS and AoA measurements

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