A method and system for parallel decoding of multi-label signals in backscatter protocol

Abstract

The invention discloses a method and system for parallel decoding of multi-label signals in a backscatter protocol. The method includes the following steps: collecting IQ domain signal sequences and clustering sampling points to obtain multiple clusters. According to the distance between any two clusters, The transition probability identifies all neighbor clusters of each cluster; based on all the obtained clusters and the neighbor clusters of each cluster, the cluster hierarchy is obtained; the level combination corresponding to each layer of clusters is determined; the cluster is identified based on the cluster to which each signal belongs. The level combination sequence corresponding to the IQ domain signal sequence is decomposed to obtain the level transmission sequence corresponding to each tag, and each tag is decoded. The invention realizes decoding of multiple collision tags in a dynamic environment, and is very suitable for highly dynamic and highly unstable backscattering systems in practical applications. Since the present invention does not rely on signal stability and does not require any changes on the tag side, it reduces energy consumption on the tag side and improves the reliability and robustness of the algorithm.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a method and system for parallel decoding of multi-label signals in a backscatter protocol, which realizes parallel decoding of multiple RFID labels under the condition of unstable signal transmission. This technology is suitable for multi-target positioning applications in large warehouses, shelves or wireless sensor networks that need to read multiple RFID tag signals at the same time. Background technique [0002] With the rapid development of the Internet of Things in recent years, radio frequency identification, as a key technology for the development of the Internet of Things, has attracted great attention from academia and industry. In a typical radio frequency identification system, the advantages of high communication efficiency and low energy consumption of backscatter technology greatly improve the application of backscatter technology in communication b...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the problem that existing decoding methods have poor performance in parallel decoding of multi-label signals in backscatter communication, the present invention proposes a parallel signal decoding method in backscatter protocol, including the following steps:

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