Weight least square indoor positioning algorithm based on phase difference Euclidean distance measurement

Abstract

The invention discloses a weight least square indoor positioning algorithm based on phase difference Euclidean distance measurement. The weight least square indoor positioning algorithm comprises the following steps: arranging a positioning RFID (Radio Frequency Identification Devices) reader and a reference marker; estimating the distance between the reader and the maker according to a phase difference received by the reader, equalizing a distance measurement error caused by a multipath effect and Gaussian white noise to be Gaussian distribution, and enabling mean values and variances of deviation of estimated distances between the reference marker and the readers and actual distances to form position parameters and scale parameters of Gaussian distribution parameters; estimating the distance between the reference marker and a marker to be positioned; by taking the reciprocal of the variance of an estimation error of the distance between the marker to be positioned and the reader and the reference marker as a weighting factor, solving a positioning problem by using a weight least square algorithm. The weight least square indoor positioning algorithm has the characteristics of being relatively high in precision.

Description

technical field [0001] The invention relates to an indoor positioning problem. Background technique [0002] Positioning technology has brought great convenience to people's lives. In recent years, with the rapid development of the Internet of Things, people's demand for positioning has become higher and higher, and the application of indoor positioning technology has become more extensive. Satellite-based positioning technology and mobile cellular network-based positioning technology are greatly affected by buildings. In scenes where buildings such as schools, warehouses, and shopping malls are relatively concentrated, the positioning accuracy will be greatly reduced, which cannot meet the high-precision positioning requirements. [0003] In indoor positioning, electromagnetic waves will reflect when encountering the ground, ceiling, walls, obstacles, etc. during transmission, resulting in multipath effects, which lead to changes in the energy, phase, time and other informa...

AI Technical Summary

Problems solved by technology

Satellite-based positioning technology and mobile cellular network-based positioning technology are greatly affected by buildings, and the positioning accuracy will be greatly reduced in scenes where buildings such as schools, warehouses, and shopping malls are relatively concentrated, and cannot meet the high-precision positioning requirements

[0003] In indoor positioning, electromagnetic waves will reflect when encountering the ground, ceiling, walls, obstacles, etc. during transmission, resulting in multipath effects, which lead to changes in the energy, phase, time and other information of the signals received by the receiver , which seriously interferes with the positioning results

Images