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Low Cost Fpga Based Digital Beamforming Architecture for Casa Weather Radar Applications

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Abstract
Digital beamforming is a powerful signal processing technique used in many communication and radar sensing applications. However, despite its many advantages, its high cost makes it a less popular choice than other directional antenna options. The development of a low cost architecture for digital beamforming would make it a more feasible option, allowing it to be used for a number of new applications. Specifically, the Collaborative, Adaptive Sensing of the Atmosphere (CASA) project’s Distributed Collaborative Adaptive Sensing (DCAS) system, a low cost weather radar system, could benefit from the incorporation of digital beamforming into small, inexpensive but highly functional radars. Existing DBF architectures are implemented in complex systems which include a number of expensive processing modules and other associated hardware. This project shows a low-cost digital beamforming architecture that has been developed by utilizing today’s powerful and inexpensive FPGA devices along with recently available low-voltage-differential-signaling enabled multi-channel analog to digital conversion hardware. The utilization of commercially available devices rather than custom hardware allows this architecture to be manufactured at a fraction of the cost of most. This makes it a viable alternative to the classic dish antennas for the DCAS system, allowing a reduction in size and cost which will benefit deployment. The flexibility of an FPGA-based DBF system will result in a more robust radar system. With this in mind, an architecture has been developed, fabricated and evaluated.
Type
campus
thesis
Date
2010
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