Elsevier

Digital Signal Processing

Volume 17, Issue 6, November 2007, Pages 1071-1088
Digital Signal Processing

A configurable fractionally-spaced blind adaptive equalizer for QAM demodulators

https://doi.org/10.1016/j.dsp.2006.10.009Get rights and content

Abstract

This paper discusses the design and field programmable gate array (FPGA) implementation of a configurable 18-tap fractionally-spaced blind adaptive equalizer intellectual property (IP) core for quadrature amplitude modulation (QAM) signals. The design can be configured to implement the constant modulus algorithm (CMA), multimodulus algorithm (MMA), radius-adjusted modified-multimodulus algorithm (RMMA), and radius-adjusted multimodulus decision-directed algorithm (RMDA), while it can achieve channel equalization for square QAM signals up to 256-QAM. The input samples to the equalizer tapped delay line are sampled at twice the symbol rate, while the equalizer output and tap coefficients are updated at the symbol rate. This is exploited by the equalizer tap and update modules of the design, which utilize the same hardware to implement two consecutive equalizer taps per module. The IP core is implemented for the Altera Stratix II EP2S130F780C4 FPGA and targets cable demodulators. The implementation operates at a maximum symbol frequency of 8.055 MBaud, which is comparable to recent QAM equalizer designs for cable modems.

Section snippets

Kevin Banović received the B.A.Sc. and M.A.Sc. degrees in electrical engineering from the University of Windsor, ON, Canada, in 2003 and 2006, respectively. He is a candidate in the electrical and computer engineering Ph.D. program at the University of Toronto, ON, Canada. His research interests include the design and implementation of signal processing microsystems, sequential Monte Carlo methods, adaptive signal processing, high performance VLSI design, and field-programmable logic.

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    Kevin Banović received the B.A.Sc. and M.A.Sc. degrees in electrical engineering from the University of Windsor, ON, Canada, in 2003 and 2006, respectively. He is a candidate in the electrical and computer engineering Ph.D. program at the University of Toronto, ON, Canada. His research interests include the design and implementation of signal processing microsystems, sequential Monte Carlo methods, adaptive signal processing, high performance VLSI design, and field-programmable logic.

    Mohammed A.S. Khalid received the Ph.D. degree in computer engineering from the University of Toronto in 1999. He is an Assistant Professor in Electrical and Computer Engineering Department at the University of Windsor. From 1999 to 2003, he was a senior member of Technical Staff in the Verification Acceleration R & D Group (formerly Quickturn), of Cadence Design Systems, based in San Jose, CA. His research and development interests are in architecture and CAD for field programmable chips and systems, reconfigurable computing, digital system design, and hardware description languages.

    Esam Abdel-Raheem received the B.Sc. and M.Sc. degrees from Ain Shams University, Cairo, Egypt, in 1984 and 1989, respectively, and Ph.D. degree from the University of Victoria, Canada in 1995, all in electrical engineering. Currently, he is an Associate Professor at the University of Windsor, ON, Canada, and also an Adjunct Associate Professor at the University of Victoria, BC, Canada. Dr. Abdel-Raheem's research fields of interests are in digital signal processing, signal processing for communications, and VLSI signal processing. He is a senior member of the IEEE and a member of the IEEE SPS Technical Committee on Signal Processing Education and IEEE CAS Technical Committee on VLSI systems and applications. He has served as the technical program co-chair for IEEE ISSPIT 2004 and 2005.

    This work was supported by Natural Science and Engineering Research Council of Canada (NSERC) and the University of Windsor.

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