Model Based Ranging Localization, Patent Filed

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METHOD FOR MODEL-BASED RANGING AND LOCALIZATION

Application US20260099709A1 Kind: A1 Apr 09, 2026

Inventors

Luca Rigazzio, Siamak Yousefi

Abstract

A method includes: accessing time-difference-of-arrival data associated with a signal transmitted by a transmitter and received by a pair of nodes in an environment; generating parameters of a mixture model based on the time-difference-of-arrival data and a neural network; generating a probability density function, in a set of probability density functions, representing a distribution of distances between the transmitter and the pair of nodes based on the parameters and the time-difference-of-arrival data; based on the set of probability density functions, generating a spatial probability density function representing likelihoods of positions of the transmitter within the environment; calculating a set of likelihoods of the transmitter positioned at a set grid of points representing the environment based on the spatial probability density function; and identifying a target grid point exhibiting highest likelihood in the set of likelihoods as an estimated position of the transmitter.

CPC Classifications

G06N 3/08 G06N 3/045 H04B 17/252

Filing Date

2025-10-03

Application No.

19349151

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