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.
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Acknowledgement
The authors would like to thank Christopher Simon of the Department of Electrical and Computer Engineering in the Schulich School of Engineering at the University of Calgary, Calgary, AB, Canada, for providing technical support during the measurements.
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This work was supported by the Informatics Circle of Research Excellence (iCORE), the Natural Sciences and Engineering Research Council of Canada (NSERC), Analog Devices Inc. and Canada Research Chairs (CRC).
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Kwan, A.K.C., Helaoui, M., Boumaiza, S. et al. Wireless Communications Transmitter Performance Enhancement Using Advanced Signal Processing Algorithms Running in a Hybrid DSP/FPGA Platform. J Sign Process Syst Sign Image Video Technol 56, 187–198 (2009). https://doi.org/10.1007/s11265-008-0225-3
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DOI: https://doi.org/10.1007/s11265-008-0225-3