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RF Engines' fractional resampling cores for FPGA can be used to
perform up-sampling or down-sampling of high-speed digital signals.
The architectures are highly scalable, and support rate conversion
of just one channel or thousands of channels simultaneously, whilst
maintaining efficient use of silicon resources, and providing excellent
filtering performance in order to mitigate the effects of aliasing.

Generic
Fractional Resampler
RF
Engines' Flexible
Resampler architecture supports up-sampling or down-sampling
of many channels simultaneously, and allows the rate change to be
selected with resolution of less than one Hertz. When operating
on multiple input channels, the architecture treats each channel
independently, allowing different input/output sampling rates, and
rate changes for each. Furthermore, the rate change required for
each channel can be updated at runtime, without affecting the operation
of other channels.
The Fixed
Rate Converter architecture provides efficient fractional
rate conversion for a single input channel with a sample rate up
to 200MS/s. Each core performs either up-conversion or down-conversion
at a fixed conversion rate.
The FPGA cores
are provided as an EDIF netlist for either Xilinx or Altera FPGA
devices, and are custom generated for each specific requirement
to ensure a minimal FPGA footprint, and lowest power consumption.
Like all RF Engines cores, the resamplers are supported by bit-true
Matlab models, allowing early validation of the core through simulation,
and thereby reducing risk.
The designs are licensed as Intellectual Property (IP) cores to
equipment manufacturers and allow a low cost and reduced risk route
to product.
Features :
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Fractional architecture allows precise sample rate changes to
sub-Hertz resolution |
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Architectures available for up and down conversion |
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Simultaneous
resampling of multiple channels (potentially thousands) |
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Resampling
rates reconfigurable at run-time |
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Multi-channel
aggregate sample rates up to 180 MHz |
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High
performance filtering reduces aliasing effects |
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Silicon
usage minimised for each application |
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Supported
by bit-true Matlab models |
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Xilinx
and Altera FPGA devices supported |
Applications
:
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Telecommunications
modulators and demodulators |
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Software
defined radio |
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Image
and video processing |
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Audio
processing |
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Interfacing
with fixed-rate hardware devices |
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