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Sensors 2016, 16(4), 442; doi:10.3390/s16040442

LS Channel Estimation and Signal Separation for UHF RFID Tag Collision Recovery on the Physical Layer

School of Electrical and Information Technology, Yunnan University of Nationalities, 650500 Kunming, China
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Academic Editor: Yunchuan Sun
Received: 6 January 2016 / Revised: 19 February 2016 / Accepted: 29 February 2016 / Published: 26 March 2016
(This article belongs to the Special Issue Identification, Information & Knowledge in the Internet of Things)
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Abstract

In a passive ultra-high frequency (UHF) radio-frequency identification (RFID) system, tag collision is generally resolved on a medium access control (MAC) layer. However, some of collided tag signals could be recovered on a physical (PHY) layer and, thus, enhance the identification efficiency of the RFID system. For the recovery on the PHY layer, channel estimation is a critical issue. Good channel estimation will help to recover the collided signals. Existing channel estimates work well for two collided tags. When the number of collided tags is beyond two, however, the existing estimates have more estimation errors. In this paper, we propose a novel channel estimate for the UHF RFID system. It adopts an orthogonal matrix based on the information of preambles which is known for a reader and applies a minimum-mean-square-error (MMSE) criterion to estimate channels. From the estimated channel, we could accurately separate the collided signals and recover them. By means of numerical results, we show that the proposed estimate has lower estimation errors and higher separation efficiency than the existing estimates. View Full-Text
Keywords: RFID; tag collision; channel estimation; signal separation; least-square RFID; tag collision; channel estimation; signal separation; least-square
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Duan, H.; Wu, H.; Zeng, Y.; Chen, Y. LS Channel Estimation and Signal Separation for UHF RFID Tag Collision Recovery on the Physical Layer. Sensors 2016, 16, 442.

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