Posterior probability tag collision solution for RFID system

Abstract

The invention discloses a posterior probability tag collision solution for an RFID system. The RFID system of the method consists of one reader and a plurality of tags in the coverage of the reader. The reader sends a frame length querying command, and then executes the corresponding operation when the tags receive the command. The label has five states: an initial state, a preparation state, an ID transmission state, a data processing state and a silent state. The state change of the tags is executed through a counter according to a current time slot state, and the reader adjusts the frame length according to the states of the former three time slots in each frame, thereby avoiding the excessive time slots and collision time slots in the frame time slot, avoiding the collision between the large-scale tags, and reducing the impact on the recognition efficiency from a capturing effect. The method can effectively solve a problem of multi-tag collision in the RFID communication system when being used for the collision between a plurality of RFID tags, and improves the recognition rate of a system for the tags.

Description

technical field [0001] The invention relates to a label conflict solution method of posterior probability, which is particularly applicable to the multi-label conflict problem in an RFID communication system, and the frame length is changed through the time slot state to maximize the identification efficiency of the RFID to the label. technical background [0002] RFID technology is one of the key technologies in the Internet of Things, which has the advantage of high identification efficiency. When the RFID system is working, multiple tags may be within the working range of the reader at the same time. In order to improve the recognition efficiency, the reader usually needs to recognize multiple tags at a time. Since multi-tag identification generally uses a shared wireless channel to communicate with the reader, when two or more tags occupy the channel, conflicts will result. Of course, two or more tags do not necessarily lead to conflicts. Since the distance between the...

AI Technical Summary

Problems solved by technology

Determining the frame length needs to determine the frame length by estimating the number of tags, but its complexity is high

At the same time, in a large-scale tag recognition environment, the number of tags is much greater than the initial frame length, and the observed value of the number of empty slots may appear to be zero, which will lead to inaccurate tag estimation results and affect tag recognition efficiency.

The Q method of EPC C1 Gen2 is also an ALOHA method. This method uses an adaptive method to adjust the frame length, but it requires the reader to repeatedly send commands to change the frame length, resulting in too many commands to be sent, and in a large-scale tag recognition environment. , the capture effect is a common phenomenon, but the traditional frame length estimation method and the Q method do not consider the impact of the capture effect on the tag recognition efficiency

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