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A reader optimization deployment method based on passive UHF RFID positioning system

A positioning system and reader technology, applied in the field of radio frequency communication, can solve problems such as reducing positioning efficiency

Active Publication Date: 2017-09-19
西安富立叶微电子有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, typical passive UHF RFID readers can only reduce the power transmission energy level step by step to obtain the minimum energy level of each tag. When the position of the reader and the reference tag is close, unnecessary energy level switching will Cause unnecessary time-consuming positioning and reduce positioning efficiency

Method used

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  • A reader optimization deployment method based on passive UHF RFID positioning system
  • A reader optimization deployment method based on passive UHF RFID positioning system
  • A reader optimization deployment method based on passive UHF RFID positioning system

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Embodiment Construction

[0023] The main purpose of the present invention is to propose a reader optimization deployment method based on a passive UHF RFID positioning system. The reader deployment method obtained by the method can effectively improve the positioning efficiency of the system.

[0024] Attached below figure 1 , Attached figure 2 , Attached image 3 , Attached Figure 4 , Attached Figure 5 , Attached Image 6 The embodiments of the present invention are described in further detail.

[0025] 1. The establishment of the mapping relationship between the power emission energy level and the radiation radius of the reader

[0026] Based on the Friss power loss model, the transmit power P of the reader can be obtained t Corresponding maximum radiation radius R

[0027]

[0028] Where R 0 Represents the reference radius, λ represents the signal wavelength, ε represents the path loss coefficient, P r Indicates the activation threshold of passive tags, G r Indicates the reader antenna gain, G t Indicat...

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Abstract

The invention belongs to the technical field of radio-frequency communication, and relates to a reader optimization deployment method based on a passive ultrahigh-frequency RFID positioning system. The method comprises the steps: analyzing a relationship between a reader emission energy level and a radiation radius, constructing a target adaptive value function based on positioning time consumption according to the LANDMARC algorithm principle, taking positions of various readers in a system as optimization searching variables, taking the fact that the target adaptive value function is minimum as a optimization searching target, building an optimization searching particle model through adoption of the typical particle swarm algorithm, improving the local searching capability and the global searching capability through introducing the simulation annealing algorithm, and then determining an optimal deployment mode of the readers. The method is advantageous in that the LANDMARC algorithm principle and a passive RFID identification mechanism are integrated, the system time-consuming particle optimization searching model suitable for passive ultrahigh-frequency RFID positioning is built, and positioning efficiency of the system can be effectively improved through the obtained reader deployment mode.

Description

Technical field [0001] The invention belongs to the technical field of radio frequency communication, and relates to a reader optimization deployment method based on a passive UHF RFID positioning system. Background technique [0002] In recent years, passive UHF RFID systems have been widely used in indoor positioning due to their non-contact, non-line-of-sight, high-precision and low-cost advantages. As the main solution based on RFID indoor positioning, the LANDMARC system introduces a reference tag with a known location for auxiliary positioning, compares the field strength information of the reference tag and the location tag, and finds the nearest neighbor reference tag and implements the location tag based on the empirical weight formula. Location estimation. Compared with other positioning algorithms, LANDMARC algorithm has the characteristics of low cost and high accuracy. [0003] Positioning efficiency and positioning accuracy are important indicators for evaluating th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K7/00G06K7/10
Inventor 史伟光韩晓迪祁晓丽李建雄
Owner 西安富立叶微电子有限责任公司
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