RFID indoor positioning algorithm based on asynchronous dominant action evaluation

Abstract

The invention relates to an RFID indoor positioning algorithm based on asynchronous dominant action evaluation, and the algorithm comprises the steps: taking a signal intensity value of a positioningtarget as input data, building a global action network and a global evaluation network, and building a plurality of thread sub-action networks and thread sub-evaluation networks. Wherein A plurality of threads learn in parallel and do not interfere with one another, aynchorously updating learned experience to the global network, and the global network finally outputs the specific position of the reference tag to obtain an asynchronous dominant action evaluation positioning model; And when the to-be-detected target enters the detection area, enabling the positioning model automatically to predict the specific position of the target. Due to the fact that the indoor positioning actions are continuous, the asynchronous dominant action evaluation method is combined with RFID indoor positioning,the problem of positioning continuity is well solved, the problems that an indoor positioning model is long in training time, low in positioning precision, affected by environmental noise and the like are effectively solved, and the method is particularly suitable for the situation that the number of positioning targets is large.

Description

technical field [0001] The invention relates to indoor positioning technology in wireless identification, in particular to an RFID indoor positioning algorithm based on asynchronous dominant action evaluation. Background technique [0002] In recent years, as people's demand for spatial location information continues to increase, more and more people pay attention to positioning technology, especially the services that provide location information based on GPS positioning system, mobile Internet, smart phones and other technologies. Life brings great convenience. In the outdoors without obstacles, GPS technology is relatively mature and widely used. However, obstacles such as buildings, plants, and walls can weaken or disperse the GPS signal, resulting in GPS being unable to locate. Therefore, the positioning system has also developed from outdoor positioning to indoor positioning. [0003] The existing indoor positioning methods mainly include ranging-based and non-rangi...

AI Technical Summary

Problems solved by technology

This method reduces the average positioning error by screening out high-quality RSSI values. However, the Bayesian algorithm is based on the assumption that the conditions are independent of each other. In practice, the features cannot be absolutely independent, which affects the actual positioning effect.

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