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FIR filtering with FPGAs using quadrature sigma-delta modulation encoding

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Field-Programmable Logic Smart Applications, New Paradigms and Compilers (FPL 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1142))

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Abstract

This paper addresses the problem of implementing narrow-band FIR filters using FPGAs. The method uses a tunable quadrature sigma-delta modulator to re-quantise a real- or complex-valued input stream to a reduced precision, so removing the requirement for a full multiplier in the filter hardware. This makes the technique very attractive for implementation using FPGAs. The re-quantisation process preserves the dynamic range of the signal components contained in the bandwidth of the filter, while shifting the re-quantisation noise to the spectral region to be rejected by the filter. The filter architecture described and its implementation using Xilinx FPGAs is presented.

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References

  1. J. Isoaho, “FPGA-Implementable Digital Filters”, More FPGAs, editor Will Moore and Wayne Luk, Abingdon EE&CS Books, Oxford, England, pp. 281–290, 1994.

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  2. L. Mintzer, “FIR Filters with Field Programmable Gate Arrays”, Journal of VLSI Signal Processing, No. 6, pp. 120–127, 1993.

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  5. C. H. Dick and f. harris, “One the Re-quantization of Data to Implement High-Order Narrow-Band Filters Using Reconfigurable Logic”, Twenty-Ninth Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, October 29–November 1 1995.

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Reiner W. Hartenstein Manfred Glesner

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© 1996 Springer-Verlag Berlin Heidelberg

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Dick, C.H., Harris, F. (1996). FIR filtering with FPGAs using quadrature sigma-delta modulation encoding. In: Hartenstein, R.W., Glesner, M. (eds) Field-Programmable Logic Smart Applications, New Paradigms and Compilers. FPL 1996. Lecture Notes in Computer Science, vol 1142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61730-2_39

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  • DOI: https://doi.org/10.1007/3-540-61730-2_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61730-3

  • Online ISBN: 978-3-540-70670-0

  • eBook Packages: Springer Book Archive

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