Indoor position positioning method carrying out RSSI denoising according to RSSI maximum value

Abstract

The invention discloses an indoor position positioning method carrying out RSSI denoising according to the RSSI maximum value; the method comprises the following steps: firstly selecting a plurality of calibration points in the indoor environment, and gathering a WIFI receiving signal strength index (RSSI) at each calibration point; aiming at certain calibration point, ranking gathered RSSIs of certain WIFI signal source AP from big to small, and selecting M values in order from the maximum value or the second maximum value; solving the average value of the M values so as to serve as the RSSIestimated value of the AP corresponding to the calibration point; associating all solved RSSI estimated values with calibration point position information so as to form position fingerprints, thus obtaining a position fingerprint database; gathering WIFI RSSI data of a tested point, and processing the data so as to obtain the tested point RSSI estimated value; finally assuming that K fingerprint points closest to the positioning point are selected, and using WKNN to position the tested point, thus determining the tested point estimated position. The method has better positioning precision andinterference immunity which are shown by the positioning results tested under different indoor environments.

Description

technical field [0001] The invention belongs to the technical field of indoor positioning and relates to an indoor position positioning method, in particular to a novel indoor position positioning method for extracting RSSI noise removal based on the maximum value of RSSI. Background technique [0002] With the rapid development of information technology, indoor positioning technology has developed rapidly. Among various indoor positioning technologies, the position fingerprint positioning method based on RSSI (received signal strength positioning technology) has become the mainstream of indoor positioning because it does not need to add any hardware equipment and does not need to know the position information of the AP and the accurate channel model. positioning method. The method is generally divided into two stages: offline and online. In the offline stage, the RSSI signal of all fingerprint reference points in the positioning area is measured and the signal features ar...

AI Technical Summary

Problems solved by technology

In the offline stage, the RSSI signal of all fingerprint reference points in the positioning area is measured and the signal features are extracted to establish a Radio Map location fingerprint database; in the online stage, the signal characteristics of the location points are obtained, and the most similar group or groups are found by matching with the location fingerprint library Fingerprint reference point data, and then use a certain positioning algorithm to obtain the positioning results of the positioning point. It can be seen that the selection of RSSI signal feature values ​​is very important no matter in the offline stage or the online stage. not much research

[0003] Generally, the average value of RSSI signal characteristics is selected as its positioning feature value. Considering the complexity and dynamics of the indoor environment, there are often multi-path propagation and non-line-of-sight propagation in the signal propagation process. The average value of RSSI has certain advantages for fingerprint positioning. limitation

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