Abstract

Considering a dyadic backscatter channel (DBC) model, the previous methods with zero forcing (ZF) and min- imum mean squared error (MMSE) are not able to rapidly cancel inter-symbol interference (ISI) because of errors of post-preamble transmission in MIMO-RFID channel. In or- der to achieve the ISI cancellation, the proposed method is demonstrated to improve the convergence rate without post- preamble by using a constant modulus algorithm (CMA) in this paper. The CMA depends on the steepest descent algo- rithm function, which is based on the second order statistics (SOS) to estimate the channel characterization. We compare between the conventional method and the proposed method based on simulation and measured data. Furthermore, the multiple tag of post-processing is also considered under the assumption of the maximum likelihood detection. We can confirm that the proposed method is better than the conven- tional method with faster ISI cancelling and a lower bit error rate (BER) improving up to 12 tags.

Highlights

  • The RFID system is a wireless communication that utilizes radio-frequency (RF) waves to identify objects

  • This paper presents an evaluation of inter-symbol interference (ISI) cancellation by using a blind equalizer based on the dyadic backscatter channel (DBC) model for the MIMO-RFID reader reception

  • In order to cancel the severe ISI, thirdly, we investigated the convergence rate of the ISI cancelled between the conventional method and the proposed method

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Summary

Introduction

The RFID system is a wireless communication that utilizes radio-frequency (RF) waves to identify objects. In the conventional method [16], it is described that these can be optimized for the collision recovery up to L = 2M as a number of tags, where M represents the multiple receiving antennas. Even though it has low complexity, the solution is still limited with a weakness of ISI cancellation in DBC model. This paper presents an evaluation of ISI cancellation by using a blind equalizer based on the DBC model for the MIMO-RFID reader reception.

Signal Modeling
RFID Reader Reception
Conventional Method
Proposed Method
Channel Measurement
Data Processing
Conclusion

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