Multi-tag identification method of RFID reader

Abstract

The invention relates to a multi-tag identification method of an RFID reader. The method comprises the following steps: 1) a reader sends detection commands to a tag group, each tag randomly selects one time slot number from the time slot sequence ranging from 0 to 2Q-1 after receiving the detection commands and generates one binary data with 2Q-numbered bits as the time slot sequence of the corresponding tag; 2) after the reader receives the time slot sequences sent by the tags and detects the bit conflict of the time slot sequences of the tags; and 3) the reader begins to identify the tags according to a non-idle time slot number table entry and successively sends query commands Query (S1) to the tag group from small to large order of the slot sequences numbers. Thebeneficial effects of the invention are as follows: the invention inherits the high recognition rate characteristic of the binary tree algorithm, and combines the high identifying accuracy advantage of the binary tree algorithm and the fast identification advantage of the random aloha algorithm during the identification process of the tags.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows an improved way of identifying collars on documents based upon their content or other attributes such as size. By utilizing this technique, we have achieved better performance than previous methods like histograms analysis techniques. Additionally, our new approach includes two phases - Random Alignment (RA) phase followed by Binary Searching Phase(BSP). These improvements improve efficiency over existing algorithms while also reducing resource usage compared to older technologies.

Problems solved by technology

Technological Problem addressed in this patented technical problem relating to conventional methods involving radar systems involves collisions caused during the process of identifying objects accurately due to factors like distance and timing differences such as interference patterns generated by other devices. These issues lead to delays and decreased accuracy in recognizing and deciding whether any tags may match up incorrectly. Therefore, improvements involve dynamically selecting different timeslants among predetermined ones without increasing processing complexity while maintaining accurate matches detection performance.

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