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An indoor positioning arrival time estimation method

A technology for time-of-arrival estimation and indoor positioning, which is applied in positioning, location-based services, and services based on specific environments, and can solve problems such as difficulty in implementation and small antenna array size.

Active Publication Date: 2019-06-07
XI AN JIAOTONG UNIV
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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

Method used

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  • An indoor positioning arrival time estimation method

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Embodiment Construction

[0058] The present invention provides a time-of-arrival estimation method for indoor positioning, which first obtains the two-dimensional frequency-space domain channel response Then in the spatial domain to the two-dimensional frequency-space domain channel response Perform discrete fractional Fourier inverse transform to distinguish multipath signals. By combining serial interference cancellation and averaging-based methods, the parameters of multipath components can be obtained until the amplitude of the detected multipath components is less than a certain threshold ; Finally, determine the TOA of the line-of-sight path as The minimum value in , to complete the indoor positioning time of arrival estimation.

[0059] A method for estimating time of arrival of indoor positioning in the present invention comprises the following steps:

[0060] S1. In an indoor environment, collect the CFRs (ie, the CFRs of the virtual antenna array) at equally spaced M positions based on ...

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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 in particular relates to a two-dimensional super-resolution time-of-arrival estimation method based on a virtual antenna array and a fractional Fourier transform (FRFT, fractional Fourier transform). Background technique [0002] Geometric positioning based on Time-of-Arrival (TOA, Time-of-Arrival) is the most common method for realizing a high-precision positioning system. The basic problem to be solved in TOA estimation is how to accurately extract the TOA of the line-of-sight (LOS, Line-of-Sight) path, because in the indoor multi-path environment, the line-of-sight path is usually affected by the non-LOS (NLOS, Non- LOS) path interference, resulting in inaccurate estimated TOA. In traditional TOA estimation methods, such as methods based on Inverse Fourier Transform (IFT, InverseFourier Transform), due to severe multipath effects and limited system bandwidth, higher estimation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B1/711H04W4/02H04W4/33G01S5/12
Inventor 陈志刚张梦雅王磊马文飞陈禄
Owner XI AN JIAOTONG UNIV
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