Browsing by Author "Agarwal, Deepak"

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    An 8 GHz Ultra Wideband Transceiver Testbed
    Agarwal, Deepak (Virginia Tech, 2005-10-07)
    Software defined radios have the potential of changing the fundamental usage model of wireless communications devices, but the capabilities of these transceivers are often limited by the speed of the underlying processors and FPGAs. This thesis presents the digital design for an impulse-based ultra wideband communication system capable of supporting raw data rates of up to 100 MB/s. The transceiver is being developed using software/reconfigurable radio concepts and will be implemented using commercially available off-the-shelf components. The receiver uses eight 1 GHz ADCs to perform time interleaved sampling at an aggregate rate of 8 Gsamples/s. The high sampling rates present extraordinary demands on the down-conversion resources. Samples are captured by the high-speed ADC and processed using a Xilinx Virtex-II Pro (XC2VP70) FPGA. The testbed has two components: a non real-time part for data capture and signal acquisition, and a real-time part for data demodulation and signal processing. The overall objective is to demonstrate a testbed that will allow researchers to evaluate different UWB modulation, multiple access, and coding schemes. As proof-of-concept, a scaled down prototype receiver which utilized 2 ADCs and a Xilinx Virtex-II Pro (XC2VP30) FPGA was fabricated and tested.
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    FPGA Dynamic Power Minimization through Placement and Routing Constraints
    Wang, Li; French, Matthew; Davoodi, Azadeh; Agarwal, Deepak (2006-08-29)
    Field-programmable gate arrays (FPGAs) are pervasive in embedded systems requiring low-power utilization. A novel power optimization methodology for reducing the dynamic power consumed by the routing of FPGA circuits by modifying the constraints applied to existing commercial tool sets is presented. The power optimization techniques influence commercial FPGA Place and Route (PAR) tools by translating power goals into standard throughput and placement-based constraints. The Low-Power Intelligent Tool Environment (LITE) is presented, which was developed to support the experimentation of power models and power optimization algorithms. The generated constraints seek to implement one of four power optimization approaches: slack minimization, clock tree paring, N-terminal net colocation, and area minimization. In an experimental study, we optimize dynamic power of circuits mapped into 0.12 μm Xilinx Virtex-II FPGAs. Results show that several optimization algorithms can be combined on a single design, and power is reduced by up to 19.4%, with an average power savings of 10.2%.