ICA-based UHF RFID Multi-tag Hybrid Data Blind Separation

This work presents an ICA-based UHF RFID multi-tag hybrid data blind separation algorithm. After analysis, we find that UHF RFID multi-tag hybrid data is consistent with the requirements of ICA algorithm. Simulated experimental results show that excellent results can be obtained by using ICA techniques in blind separating of tags data. For evaluating the separation performance objectively, a new indicator-the Similarity of Sources and Results (SSR) is defined. The anti-noise performance of this algorithm is analyzed quantitatively too. A good theoretical and experimental basis for applying blind separation technology to UHF RFID tags anti-collision algorithm has been established in this paper.