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Radiofrequency based virtual motion model for localization using particle filter

A particle filter and motion technology, applied in the field of radio frequency-based virtual motion models, which can solve problems such as the influence of radio signals, noise in sensor data, and restrictions on the application of such systems

Pending Publication Date: 2021-07-09
FUJIFILM BUSINESS INNOVATION CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The main disadvantage of IMU-based PDR systems is that the 3-axis gyro sensor drifts over time, which makes the sensor data noisy
[0004] As will be appreciated by those of ordinary skill in the art, each of the described positioning sensors has its own limitations in noise, sampling rate, characteristics, and / or size, which present challenges in generating stable positioning
For example, the use of a camera raises privacy concerns, which may limit the application of such systems
Furthermore, indoors, radio signals are severely affected due to shadowing and multipath effects, making available wireless-based positioning systems less accurate

Method used

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  • Radiofrequency based virtual motion model for localization using particle filter
  • Radiofrequency based virtual motion model for localization using particle filter
  • Radiofrequency based virtual motion model for localization using particle filter

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Embodiment Construction

[0032] In the following detailed description, reference will be made to the accompanying drawings in which like functional elements are denoted by like numerals. The foregoing figures show, by way of illustration and not limitation, specific embodiments and implementations consistent with the principles of the invention. These implementations are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that other implementations may be utilized and that arrangements of various elements may be made without departing from the scope and spirit of the invention. changes and / or substitutions. Therefore, the following detailed description should not be construed in a limiting sense. Additionally, the various embodiments of the invention described can be implemented in the form of software running on a general purpose computer, in the form of dedicated hardware, or a combination of software and hardware.

[0033] As wil...

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Abstract

A radiofrequency based virtual motion model for localization using a particle filter is provided. A system is built using the particle filter (PF) framework which utilizes data from round trip time (RTT) ranging or BLE signal strength to perform both (1) sensing the environment by using the scan data during measurement phase and (2) detect motion state of the user which it utilized during the motion update phase of PF. To detect the motion state of the user the temporal difference of the received ranging scans is used over which is utilized within the PF framework. The primary advantage of the described technique is that the velocity parameter of the PF can dynamically be updated based on the motion state as estimated using ranging scans.

Description

technical field [0001] The disclosed embodiments relate generally to localization and tracking systems and methods, and more particularly, to radio frequency-based virtual motion models for localization using particle filters. Background technique [0002] As in "A survey of indoor positioning systems for wireless personal networks (research on indoor positioning systems for wireless personal networks)" by Y.Gu, A.Lo and I.Niemegeers, IEEECommun.Surv.Tutor., vol.11, No.1, pp.13–32, First 2009, the proliferation of personal communication systems in many public and private places and the advent of a new generation of smart phones has enabled the development of location-based services (LBS) based on standard wireless communication technologies platform. Using such as (in I.Vallivaara, J.Haverinen, A.Kemppainen and J. In 2011 15th International Conference on Advanced Robotics (ICAR), 2011, pp.198–203, IMU's "Magnetic field-based SLAM method for solving the localization proble...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/25G01C21/10G01C21/00G06F119/20
CPCG06F30/25G01C21/10G01C21/005G06F2119/20G01S5/0294G01S13/74G01S11/06H04B17/27H04B17/318H04W4/80H04W4/027G06F18/24
Inventor M·帕特尔J·比尔A·吉尔根松
Owner FUJIFILM BUSINESS INNOVATION CORP