Multi-Antenna RFID Tag Estimation via High-Dimensional Clustering
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Solution Overview
Problem
Existing ultra-high frequency RFID systems face challenges in accurately estimating the number of tags due to tag collisions and sub-optimal use of multi-antenna systems, especially at low signal-to-noise ratios.
Innovation Solution
The proposed method uses a multi-antenna RFID system to re-arrange received signals into high-dimensional vectors, modeling the tag quantity estimation as a data clustering problem in high-dimensional space, thereby improving accuracy by separating overlapped clusters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-antenna systems are used to improve tag quantity estimation accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent transforms the tag quantity estimation problem from low-dimensional signal space to high-dimensional space by utilizing multiple antenna received signals. Each antenna provides an additional dimension, allowing overlapped clusters in low-dimensional space to be separated in high-dimensional space, thereby improving estimation accuracy while managing complexity through dimensionality expansion
Solution Approach 2:
The patent combines signals from multiple receiving antennas to form a comprehensive estimation system. By merging the information from all antennas simultaneously rather than selecting one antenna, the system fully utilizes available spatial diversity to improve measurement precision without requiring complex antenna selection mechanisms
2Device complexity
If traditional low-dimensional clustering methods are used, then device complexity is reduced, but measurement precision deteriorates due to overlapped clusters
Solution Approach 1:
The patent explicitly addresses the overlapped cluster problem by transitioning from low-dimensional to high-dimensional space. The multiple antenna signals create additional dimensions that naturally separate previously overlapped clusters, improving precision without requiring complex preprocessing or transformation of the fundamental estimation approach
Data Source
AI summary
This application discloses a tag quantity estimation system and method of RFID. A processor-readable medium was disclosed at the same time. This estimation method applies a spatial diversity gain existing in a multi-antenna system. Separated and sequentially stacked the real parts and the imaginary parts of the multiple signals received by multiple antennas. Then, a tag quantity estimation problem is converted into a data clustering problem in high-dimensional space. In this way, the overlapped cluster data in low-dimensional space can be separated in the high-dimensional space, thereby improving the accuracy of tag quantity estimation.