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A rfid positioning method based on mean value clustering stochastic particle swarm algorithm

A particle swarm algorithm and mean clustering technology, applied in positioning, neural learning methods, navigation, etc., can solve the problems of insufficient noise processing, large positioning error, affecting positioning efficiency and accuracy, and achieve good convergence and speed. Fast, cost-effective results

Active Publication Date: 2022-03-15
HEFEI UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the signal acquisition in the VIRE algorithm is likely to contain noise, and the processing of the noise is not complete enough, resulting in a large positioning error. At the same time, there are multipath problems and redundant calculation problems caused by the complexity of the virtual reference tag positioning algorithm. Positioning Efficiency and Accuracy

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  • A rfid positioning method based on mean value clustering stochastic particle swarm algorithm
  • A rfid positioning method based on mean value clustering stochastic particle swarm algorithm
  • A rfid positioning method based on mean value clustering stochastic particle swarm algorithm

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Embodiment Construction

[0079] see figure 1 , the RFID positioning method based on mean value clustering stochastic particle swarm algorithm in the present embodiment comprises the following steps:

[0080] Step 1: If figure 2 As shown in , place M reference tags, K readers, and a tag to be positioned randomly in the designated indoor area. The coordinates of each reference tag are known, and the RSSI of the tag to be positioned and each reference tag is obtained by the reader. Signal strength, because the signal strength obtained by different readers at different times is different, so it is taken as a function of nonlinear change: the RSSI signal strength of the reference tag ref obtained by the reader k at time t is recorded as the reference Label Signal Strength RSSI refk (t), record the RSSI signal strength of the tag to be positioned by the reader k at time t as the signal strength of the tag to be positioned RSSI tagk (t), where 1≤ref≤M, 1≤k≤K.

[0081] Step 2: Using the threshold wavelet...

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Abstract

The invention discloses an RFID positioning method based on mean value clustering random particle swarm algorithm, in which a reference tag, a reader and a tag to be positioned are placed in a designated indoor area, and the signal strength of the reference tag and the tag to be positioned is obtained by the reader; Use the threshold wavelet algorithm to process the signal strength of the reference tag and the signal strength of the tag to be located to eliminate noise; randomly generate initialization particles in the positioning area as virtual reference tags, and obtain the signal strength of each particle through the quadratic regression curve interpolation method ; All the initialized particles are clustered and divided, the optimal virtual reference tag position is calculated through the established mean value clustering random particle swarm model, and the position of the label to be located is estimated according to the optimal virtual reference tag position. The invention can be widely used in various indoor positioning and monitoring systems for storage and freight, and has the characteristics of high precision, fast speed, strong stability and low cost.

Description

technical field [0001] The invention relates to an indoor positioning method based on radio frequency, more specifically an RFID positioning method based on mean value clustering random particle swarm algorithm, especially applied to the positioning of large-scale warehouse freight, and belongs to the technical field of monitoring and positioning. Background technique [0002] With the development of wireless local area network technology, especially the rise of Internet of Things technology, people have higher and higher requirements for location-based services, such as determining the location of goods in shopping malls when shopping, the safe positioning of children, and the security of luggage at the airport. for location tracking, etc. In the prior art, the global satellite positioning system is the most widely used for outdoor positioning; however, the indoor environment is often complicated, there are many obstacles, the signal blocking effect is extremely obvious, an...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/08
CPCG01C21/206G01S5/10
Inventor 肖本贤张旭黄俊杰江志政
Owner HEFEI UNIV OF TECH