US 12,267,805 B2
Method for estimating a location of at least one mobile network node and respective network
Alireza Sheikh, Eindhoven (NL); and Jac Romme, Schiedam (NL)
Assigned to Stichting IMEC Nederland, Eindhoven (NL)
Filed by Stichting IMEC Nederland, Eindhoven (NL)
Filed on Jul. 20, 2022, as Appl. No. 17/813,765.
Claims priority of application No. 21187335 (EP), filed on Jul. 23, 2021.
Prior Publication US 2023/0035737 A1, Feb. 2, 2023
Int. Cl. H04W 64/00 (2009.01); H04W 4/02 (2018.01)
CPC H04W 64/003 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method for estimating a location of a mobile network node of a wireless communication network comprising the mobile network node and at least two static network nodes, wherein the method comprises:
performing initial range measurements between the at least two static network nodes in a pairwise manner;
determining an initial location estimate of the mobile network node on the basis of the initial range measurements;
determining an estimate for corresponding initial noise samples on the basis of the initial location estimate or a respective location of at least one of the at least two static network nodes;
estimating corresponding initial parameters of a Gaussian mixture noise model on the basis of the initial noise samples;
moving the mobile network node relative to the at least two static network nodes after determining the initial location estimate; and
again localizing the mobile network node upon moving the mobile network node, wherein again localizing the mobile network node comprises:
computing a new location estimate for the mobile network node using the initial parameters of the Gaussian mixture noise model and noisy range measurements between the mobile network node and the at least two static nodes;
computing new noise samples using the location of the at least two static nodes and the new location estimate; and
determining new parameters for the Gaussian mixture noise model by performing expectation maximization with the computed new noise samples and the initial parameters of the Gaussian mixture noise model as inputs.