A Time-of-Arrival Estimation Method for Indoor Positioning

Abstract

The invention discloses an indoor positioning arrival time estimation method, which comprises the following steps of: acquiring CFRs (Computational Fluid Resonance) of a virtual antenna array at equalintervals on a linear or approximately linear moving track in an indoor environment to obtain a two-dimensional-spatial domain channel response; Performing inverse discrete fractional Fourier transform on the two-dimensionalspatial domain channel response, and distinguishing the multipath signal; Through combination of serial interference cancellation and an average-based method, repeatedly obtaining parameters of the multipath component until the amplitude of the detected multipath component is smaller than a set threshold value; And determining the minimum value of the sight distance path TOA to complete indoor positioning arrival time estimation. According to the method, multipath can be effectively distinguished without additional antennas, more powerful TOA estimation performance isachieved, and the TOA can be well estimated especially in the NLOS environment.

Description

Technical field [0001] The invention belongs to the technical field of indoor positioning, and specifically relates to a two-dimensional super-resolution arrival time estimation method based on a virtual antenna array and a fractional Fourier transform (FRFT). Background technique [0002] Geometric positioning based on Time-of-Arrival (TOA) is the most commonly used method to realize high-precision positioning systems. The first basic problem to be solved for TOA estimation is how to accurately extract the TOA of the line-of-sight (LOS) path, because in the indoor multipath environment, the line-of-sight path is usually subject to non-LOS (NLOS, Non-LOS). LOS) path interference, resulting in inaccurate TOA estimates. In traditional TOA estimation methods, such as the method based on Inverse Fourier Transform (IFT, Inverse Fourier Transform), due to the severe multipath effect and limited system bandwidth, higher estimation accuracy cannot be obtained, which makes it impossible ...

AI Technical Summary

Problems solved by technology

However, such 2D super-resolution methods rely on antenna arrays to obtain the channel spatial response, and they also need to meet the constraints of the assumption that the multipath phase varies approximately linearly, which means that the antenna array size should be small enough

This is difficult to achieve in practical indoor positioning

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