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Extreme values of trilateration localization error in wireless communication systems: 31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Publication date8/10/2020
Number of pages6
<mark>Original language</mark>English
Event2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications - London, United Kingdom
Duration: 31/08/20203/09/2020


Conference2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Abbreviated titleIEEE '20
CountryUnited Kingdom
Internet address


The analytical model of trilateration localization error expresses the localization error in terms of distance estimation errors. Using the analytical model, we investigate the trilateration localization error, and derive the extreme values of its components and other novel results. We show that these extreme values occur when the distance estimation errors have opposite signs. We further show that better localization accuracy is achieved if all the distance estimation errors are negative compared to when the same magnitudes of distance estimation errors are positive. The results are applicable to all wireless communication systems and networks where trilateration and multilateration may be used for position estimation. This includes global navigation satellite systems, such as the global positioning system, wireless local area networks, wireless sensor networks, internet of things, and other miscellaneous applications. All the results are verified using simulation. © 2020 IEEE.

Bibliographic note

Conference code: 163855 Export Date: 4 November 2020 Funding details: KDDI Foundation Funding details: Japan Society for the Promotion of Science, JSPS, JP16K00117 Funding details: Engineering and Physical Sciences Research Council, EPSRC, EP/K011693/1, CSA7113 Funding details: Seventh Framework Programme, FP7, GA-2013-610524 Funding details: Royal Society, IEC170324 Funding text 1: This research was supported in part by the Royal Society project IEC170324, EPSRC project EP/K011693/1, EPSRC IAA project CSA7113, EU FP7 CROWN project PIRSES GA-2013-610524, JSPS KAKENHI Grant JP16K00117 and the KDDI Foundation. References: Dinh, P., Nguyen, T.M., Sharafeddine, S., Assi, C., Joint location and beamforming design for cooperative UAVs with limited storage capacity (2019) IEEE Transactions on Communications, pp. 1-1; Farooq-I-Azam, M., Ni, Q., Ansari, E.A., Intelligent energy efficient localization using variable range beacons in industrial wireless sensor networks (2016) IEEE Transactions on Industrial Informatics, 12 (6), pp. 2206-2216. , Dec; Abrudan, T.E., Xiao, Z., Markham, A., Trigoni, N., Distortion rejecting magneto-inductive three-dimensional localization (magloc) (2015) IEEE Journal on Selected Areas in Communications, 33 (11), pp. 2404-2417. , Nov; Ho, T., Urban location estimation for mobile cellular networks: A fuzzy-tuned hybrid systems approach (2013) IEEE Transactions on Wireless Communications, 12 (5), pp. 2389-2399. , May; Wang, H., Wan, L., Dong, M., Ota, K., Wang, X., Assistant vehicle localization based on three collaborative base stations via sbl-based robust doa estimation (2019) IEEE Internet of Things Journal, 6 (3), pp. 5766-5777. , June; Li, B., Li, S., Nallanathan, A., Zhao, C., Deep sensing for future spectrum and location awareness 5G communications (2015) IEEE Journal on Selected Areas in Communications, 33 (7), pp. 1331-1344. , July; Farooq-I-Azam, M., Yu, W., Ni, Q., Dong, M., Ul Quddus, A., Location assisted subcarrier and power allocation in underlay mobile cognitive radio networks 2018 IEEE Globecom Workshops (GC Wkshps), pp. 1-6. , Dec 2018; (2005) Facilitating Opportunities for Flexible, Efficient, and Reliable Spectrum Use Employing Cognitive Radio Technologies, , Federal Communications Commission, Tech. Rep. FCC-05-57 March; Sakr, A.H., Hossain, E., Location-aware cross-tier coordinated multipoint transmission in two-tier cellular networks (2014) IEEE Transactions on Wireless Communications, 13 (11), pp. 6311-6325. , Nov; Nguyen-Huu, D., Duong, T., Nguyen, T., Location-assisted coding for fso communication (2017) IEEE Transactions on Communications, 65 (10), pp. 4360-4370. , Oct; Farooq-I-Azam, M., Ni, Q., Dong, M., An analytical model of trilateration localization error (2019) 2019 IEEE Global Communications Conference (GLOBECOM), pp. 1-6. , December