Underdetermined blind source separation RFID anti-collision method based on frame slots

Abstract

Provided is an underdetermined blind source separation RFID anti-collision method based on frame slots. The invention provides a parallelism recognition anti-collision algorithm based on the constraint NMF and the frame-slot ALOHA (FSA) in order to solve the problems that when the number of labels recognized by an RFID system is largely increased, the separation effect of an underdetermined blind source separation algorithm becomes poor, even source label signals can not be separated out, and the whole performance of the system declines rapidly. By analyzing the constraint NMF algorithm steps in the RFID system, building an underdetermined blind source separation antenna system model and selecting the reasonable number of frame slots, the number of labels in each slot is controlled within the optimal range, the source signal separation effect and the throughput capacity of the RFID system are still kept in the optimal state even if the number of the labels is increased largely, and therefore the system performance is greatly improved, the recognition time is short, and the underdetermined blind source separation RFID anti-collision method based on the frame slots has very good application value in the field of a large number of targets and need of high efficiency.

Description

technical field [0001] The invention belongs to the multi-label reading technology in the communication field, and relates to a label anti-collision method. Background technique [0002] Radio Frequency Identification (RFID) is a two-way communication using the transmission characteristics of radio frequency signals and space coupling to realize non-contact automatic identification of objects. RFID technology is now widely used in access control management, book management, and animal husbandry management. and logistics management industries. In many RFID applications, the reader needs to quickly identify multiple tags in a short time, but when multiple tags respond to the query command sent by the reader at the same time, tag collisions are prone to occur, which seriously affects the accuracy and speed of tag identification. , reducing the identification efficiency and performance of the RFID system. Researching effective anti-collision algorithms enables fast and efficie...

AI Technical Summary

Problems solved by technology

Independent Component Analysis (ICA) is a very classic blind source separation method, but it is only suitable for overdetermined and positive definite situations. In practical applications, this algorithm is often easy to cause higher hardware costs and complexity. Spend

In recent years, the multi-label anti-collision algorithm based on underdetermined blind separation, which has just emerged in recent years, is based on the analysis of the fact that the number of tags in RFID actual communication is greater than the number of reader antennas. Constrained non-negative matrix factorization (Nonnegative Matrix Factorization, NMF), but as the number of tags increases, the separation performance and tag recognition rate (that is, the number of tags that the reader can successfully read per operation) will be greatly reduced

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