SDRPHY - XML description for SDR physical layer

Grayver, Eugene; Green, H. S.; Roberson, Jeremy

doi:10.1109/milcom.2010.5680098

Cited by 1 publication

(2 citation statements)

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“…Methodologies for automatic hardware synthesis from data frame specifications are not often discussed in the literature. An example is given in [6], where an XML-based SDR waveform specification flow including frame definition is discussed. It is called SDRPHY and is a proposal for SDR physical layers specification using XML as an entry point by contrast to our approach based on a brand new DSL.…”

Section: A High Level Modeling Of Fpga-sdr Waveformmentioning

confidence: 99%

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Frame-based Modeling for Automatic Synthesis of FPGA-Software Defined Radio

Ouedraogo¹,

Gautier²,

Sentieys³

2014

Proceedings of the 9th International Conference on Cognitive Radio Oriented Wireless Networks

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Software Defined Radio (SDR) is now becoming a ubiquitous concept to describe and implement Physical Layers (PHYs) of wireless systems. Moreover, even though the FPGA is expected to play a key role in SDR, describing a PHY at the Register-Transfer-Level (RTL) requires tremendous efforts. This paper introduces a novel methodology to rapidly implement PHYs for SDR. The work relies upon High-Level Synthesis tools and dataflow modeling in order to infer an efficient RTL control unit for the application. The proposed software-based over-layer partly handles the complexity of programming an FPGA and integrates reconfigurable features. It consists essentially of a Domain-Specific Language (DSL) combined to a DSL-Compiler. An IEEE 802.11a transceiver has been explored via this approach in order to show the flexibility features.

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Section: A High Level Modeling Of Fpga-sdr Waveformmentioning

confidence: 99%

“…These two frameworks provide the building environment for SDR, however a need for tools to design the PHY is still pointed out. The GNURADIO [5] and the SDRPHY [6] projects are examples of software frameworks. They both use a block-based model of the PHY applications, namely a dataflow program, to implement such PHYs.…”

Section: Introductionmentioning

confidence: 99%