Wireless Communications Transmitter Performance Enhancement Using Advanced Signal Processing Algorithms Running in a Hybrid DSP/FPGA Platform

  • Authors:

  • Andrew K. Kwan;Mohamed Helaoui;Slim Boumaiza;Michael R. Smith;Fadhel M. Ghannouchi

  • Affiliations:

  • iRadio Laboratory, Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada T2N 1N4;iRadio Laboratory, Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada T2N 1N4;Emerging Radio System Group, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada N2L 3G1;Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada T2N 1N4 and Department of Radiology, University of Calgary, Calgary, Canada T2N 1N4;iRadio Laboratory, Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada T2N 1N4

  • Venue:
  • Journal of Signal Processing Systems
  • Year:
  • 2009

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Abstract

This paper deals with digital base band signal processing algorithms, which are seen as enabling technologies for software-enabled radios, that are intended for the correction of the analog front end. In particular, this paper focuses on the design, optimization and testability of predistortion functions suitable for the linearization of narrowband and wideband transmitters developed with a hybrid DSP/FPGA platform. To select the best algorithm for the identification of the predistortion function, singular value decomposition, recursive least squares (RLS), and QR-RLS algorithms are implemented on the same digital signal processor; and, the computation complexity, time, accuracy and the required resources are studied. The hardware implementation of the predistortion function is then carefully performed, in order to meet the real time execution requirements.