Holistic biquadratic IIR filter design for communication systems using differential evolution

  • Authors:

  • Alexander Melzer;Andreas Pedross;Manfred Mücke

  • Affiliations:

  • Maxim Integrated GmbH, Lebring, Austria and Graz University of Technology, Signal Processing and Speech Communication Laboratory, Graz, Austria;Graz University of Technology, Signal Processing and Speech Communication Laboratory, Graz, Austria;Sustainable Computing Research, Vienna, Austria

  • Venue:
  • Journal of Control Science and Engineering - Special issue on Hardware Implementation of Digital Signal Processing Algorithms
  • Year:
  • 2013

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Abstract

Digital IIR filter implementations are important building blocks of most communication systems. The chosen number format (fixed-point, floating-point; precision) has a major impact on achievable performance and implementation cost. Typically, filter design for communication systems is based on filter specifications in the frequency domain. We consider IIR filter design as an integral part of communication systemoptimisation with implicit filter specification in the time domain (via symbol/bit error rate). We present a holistic design flow with the system's bit error rate as the main objective.We consider a discrete search space spanned by the quantised filter coefficients. Differential Evolution is used for efficient sampling of this huge finite design space. We present communication system performance (based on bit-true simulations) and both measured and estimated receiver IIR chip areas. The results show that very small number formats are acceptable for complex filters and that the choice between fixed-point and floating-point number formats is nontrivial if precision is a free parameter.