Moayeri, N.
(2023),
Cooperative Localization Using Received Signal Strength and Least Squares Estimation Methods, Proceedings of IPIN 2023, Nuremberg, DE, [online], https://doi.org/10.1109/IPIN57070.2023.10332522, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936946
(Accessed April 27, 2024)
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Cooperative Localization Using Received Signal Strength and Least Squares Estimation Methods
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Author(s)
Abstract
In this paper we use two Recursive Least Squares (RLS) estimation methods to solve the cooperative localization problem based on Wi-Fi received signal strength measurements between pairs of nodes in a network that can establish communication links. A link can be between an anchor node and a non-anchor node or between a pair of non-anchor nodes. It is the latter piece of information that makes cooperation possible and this problem different from multilateration. We evaluate the performance of Newton-Raphson and Gauss-Newton RLS methods and show that cooperation can offer significant gains in performance over multilateration, which does not use cooperation.Proceedings Title
Proceedings of IPIN 2023
Conference Dates
September 23-28, 2023
Conference Location
Nuremberg, DE
Conference Title
IPIN 2023 International Conference on Indoor Positioning and Indoor Navigation
Pub Type
Conferences
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Keywords
indoor localization, cooperative localization, multilateraion, least squares estimation, received signal strength, Newton-Raphson method, Gauss-Newton method
Citation
Created December 6, 2023, Updated January 16, 2024