Holistic Biquadratic IIR Filter Design for Communication Systems Using Differential Evolution
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 filte...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/741251 |
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| Summary: | 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 system
optimisation 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. |
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| ISSN: | 2090-0147 2090-0155 |