Software Radar Data Architectures for Optimal Science Yields

Physics

Scientific paper

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2494 Instruments And Techniques, 6974 Signal Processing, 6994 Instruments And Techniques

Scientific paper

Recent advances in computing power and data acquisition fidelity, combined with the availability of low-latency multicast data transports, have made the Software Radar concept practical as a robust data taking and control system for incoherent scatter observations of the upper atmosphere. Careful design of the data flows and signal processing architecture of such a system can pay off in enabling parallel data processing, optimal spatial and temporal resolution, and full utilization of a radar's power-aperture product. In the design process, several well-defined software patterns emerge as unifying concepts not only applicable to incoherent scatter but also to radar processing tasks in general. The work is being done in close conjunction with the Open Radar Initiative, an open source project dedicated to making this technology widely available. We present specific details of our recent work with Software Radar as a production system at the Millstone Hill US mid-latitude facility, focusing on signal processing and data management. In particular, our flexible signal chain architecture combined with multiple-listener data flows allows production systems and experimental analysis paths to coexist, and allows processing to be tailored to specific scientific observation goals. The ability to automatically manage processing elements and data transports, using data encapsulated in rigorously defined objects, facilitates remote operations and system redundancy, while laying the foundations for true distributed instrument networks. We present signal processing configurations for the production Software Radar, and illustrate the system's flexibility with examples of multi-resolution observations.

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