ITR/AP: Development of Efficient Real-Time Multi-mode Data Assimilation and Analysis Techniques for the Arecibo and Related Geophysical Radar Systems

ITR/AP：阿雷西博及相关地球物理雷达系统高效实时多模式数据同化和分析技术的开发

• 批准号: 0113454
• 负责人: John Mathews
• 金额: $ 40万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0113454&HistoricalAwards=false
• 关键词: ITR; AP; Development; Efficient; Real

A three-year program is proposed involving development of the IT-techniques necessary to make the most efficient bandwidth and science use of the available observation time at Arecibo Observatory (AO) by flexibly accelerating the data processing. The proposed IT-approach will be tested via two high-impact science test/demonstration cases to be conducted at AO. The first involves simultaneous high-range/time resolution dual-beam incoherent scatter radar (ISR) observations of the 50-600 km ionosphere and a simultaneous search-using the same data stream-for heliocentric orbital objects above the atmosphere. The second will search the data-stream for meteors and completely reduce the highly complex meteor data to geophysical parameters in real-time while also processing the same data-stream for ionosphere D-region spectra. These science goals will be pursued while processing for interference and satellite-returns, providing appropriate real-time display, and archiving both original and processed data. The proposed approach will allow full use of off-the-shelf technological advancements such ad the wide-bandwidth/large-dynamic-range IF-sampling receivers developed for cell-phone base-stations and cheap but powerful general-purpose desktop/single-board computers. This hardware plus proposed algorithm development will permit assimilation of the real-time data at the full rate thus flexibly enabling optimal interference processing, real-time data display, and multi-mode parallel-outcome scientific processing. The proposed development of this flexible data-processing environment would not only prove useful to the geophysical radar community but would also provide the same environment for wide-bandwidth/multi-frequency radio astronomy observations at AO. This approach would also broadly-impact other geophysical radar and radio astronomy facilities by enabling simple adoption of this proposed low-cost general-purpose data processing/interpretations environment.

提出了为期三年的计划，涉及开发IT技术，以通过灵活加速数据处理，以使Arecibo天文台（AO）在Arecibo天文台（AO）中最有效的带宽和科学使用。 拟议的IT方法将通过在AO上进行的两个高影响力的科学测试/演示案例进行测试。 第一个涉及同时进行高范围/时间分辨率的双光束不相互散射雷达（ISR）观察50-600 km电离层的观测值，并同时搜索大气上方的相同数据流式的heliepentric轨道对象。 第二个将搜索数据流以实时搜索流星，并将高度复杂的流星数据实时降低为地球物理参数，同时还为电离层D区域光谱处理相同的数据流。 这些科学目标将在处理干扰和返回卫星，提供适当的实时显示，并归档原始数据和处理数据时实现这些科学目标。 所提出的方法将允许充分利用现成的技术进步，例如广告宽带/大型动态范围的IF采样接收器，为手机基站开发了，以及便宜但功能强大的通用台式机/单板计算机。 此硬件以及所提出的算法开发将允许以全速率同化实时数据，从而灵活地实现最佳干扰处理，实时数据显示和多模式并行估算科学处理。 拟议的这种灵活的数据处理环境的开发不仅对地球物理雷达社区有用，而且还将为AO的AO提供相同的环境，以提供相同的环境。 这种方法还可以通过简单地采用这种拟议的低成本通用数据处理/解释环境，从而广泛影响其他地球物理雷达和射电天文学设施。