A Linear Estimator for Network Localization Using Integrated RSS and AOA Measurements

This letter addresses the problem of simultaneous localization of multiple targets in three-dimensional cooperative wireless sensor networks. To this end, integrated received signal strength and angle of arrival measurements are employed. By exploiting the convenient nature of spherical representation of the considered problem, the measurement models are linearized and a sub-optimal estimator is formulated. Unlike the maximum likelihood estimator, which is highly non-convex and difficult to tackle directly, the derived estimator is quadratic and has a closed-form solution. Its computational complexity is linear in the number of connections and its accuracy surpasses the accuracy of existing ones in all considered scenarios.

[1]  Kam Tim Woo,et al.  Hybrid TOA/AOA-Based Mobile Localization with and without Tracking in CDMA Cellular Networks , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[2]  Andrew H. Kemp,et al.  Optimised hybrid localisation with cooperation in wireless sensor networks , 2017, IET Signal Process..

[3]  Marko Beko,et al.  Distributed algorithm for target localization in wireless sensor networks using RSS and AoA measurements , 2017, Pervasive Mob. Comput..

[4]  Hichem Besbes,et al.  Hybrid RSS/AOA hypothesis test for NLOS/LOS base station discrimination and location error mitigation , 2016, Trans. Emerg. Telecommun. Technol..

[5]  Qun Wan,et al.  A Simple and Accurate TDOA-AOA Localization Method Using Two Stations , 2016, IEEE Signal Processing Letters.

[6]  Moe Z. Win,et al.  Network localization and navigation via cooperation , 2011, IEEE Communications Magazine.

[7]  Kegen Yu,et al.  3-d localization error analysis in wireless networks , 2007, IEEE Transactions on Wireless Communications.

[8]  Marko Beko,et al.  Distributed RSS-AoA Based Localization With Unknown Transmit Powers , 2016, IEEE Wireless Communications Letters.

[9]  Marko Beko,et al.  A bisection-based approach for exact target localization in NLOS environments , 2018, Signal Process..

[10]  Marko Beko,et al.  3-D Target Localization in Wireless Sensor Networks Using RSS and AoA Measurements , 2017, IEEE Transactions on Vehicular Technology.

[11]  Brian Peacock,et al.  Statistical Distributions: Forbes/Statistical Distributions 4E , 2010 .

[12]  Yue Wang,et al.  Reference Selection for Hybrid TOA/RSS Linear Least Squares Localization , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

[13]  Soummya Kar,et al.  Distributed Localization: A Linear Theory , 2018, Proceedings of the IEEE.

[14]  Marko Beko,et al.  RSS-Based Localization in Wireless Sensor Networks Using Convex Relaxation: Noncooperative and Cooperative Schemes , 2015, IEEE Transactions on Vehicular Technology.

[15]  R. Inkol,et al.  Hybrid RSS/AOA emitter location estimation based on least squares and maximum likelihood criteria , 2012, 2012 26th Biennial Symposium on Communications (QBSC).

[16]  Marko Beko,et al.  A Closed-Form Solution for RSS/AoA Target Localization by Spherical Coordinates Conversion , 2016, IEEE Wireless Communications Letters.

[17]  Lyudmila Mihaylova,et al.  Localisation of Sensor Nodes with Hybrid Measurements in Wireless Sensor Networks , 2016, Sensors.

[18]  Weihua Zhuang,et al.  Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems , 2002, IEEE Trans. Wirel. Commun..

[19]  Y. Ye,et al.  Semidefinite Programming Algorithms for Sensor Network Localization using Angle of Arrival Information , 2005 .

[20]  Lei Yu,et al.  Comparison of Hybrid Localization Schemes using RSSI, TOA, and TDOA , 2011, EW.