ITR-(ASE)-(int): Development of Efficient Real-Time Multi-mode Data Assimilation and Analysis Techniques for the Arecibo and Related Geophysical Radar Systems

ITR-(ASE)-(int)：为阿雷西博及相关地球物理雷达系统开发高效实时多模式数据同化和分析技术

• 批准号: 0427029
• 负责人: John Mathews
• 金额: --
• 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: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0427029&HistoricalAwards=false
• 关键词: ITR; ASE; int; Development; Efficient

This project will develop digital signal conversion and processing techniques for the signal from the Arecibo Observatory radar and astronomy systems. Some of the algorithms proposed for real-time processing will be adapted from existing post-processing algorithms while some will be de novo. The extension of the current multi-channel digital receiver prototype will permit much more flexible approaches to signal processing and the development of new signal processing algorithms will advance the study of meteors, ionospheric disturbances and pulsars. The techniques being developed eill permit better separation of incoherently and coherently scattered radar returns and will be used to examine short-period waves and instabilities in the ionosphere, meteors, and objects orbiting around the sun. Coherent returns will be used to determine the orbits of meteors and other objects in heliocentric orbits, and to distinguish meteors of extra-solar origin. Automatic meteor detection algorithms will be extended to four-channel interferometry to provide more accurate meteor trajectories than can be determined using the main beam alone and better identification of the full spectrum of meteor events. To increase the utility of the observatory, a pulsar search algorithm will be developed that can be used when the pulsed radar is operating. This will analyze the signals received in the intervals between pulse transmissions. The project will take advantage of the higher bandwidth of modern internet connections and develop a data analysis system in which the work is distributed between Arecibo Observatory, Pennsylvania State University and the State University of New York at Geneseo.

该项目将开发来自Arecibo天文台雷达和天文学系统信号的数字信号转换和处理技术。 提议实时处理的某些算法将根据现有的后处理算法进行调整，而有些则是从头开始的。当前多通道数字接收器原型的扩展将允许更加灵活的信号处理方法，而新的信号处理算法的开发将推动对流星，电离层干扰和脉冲星的研究。 开发的技术允许更好地分离不连贯且相干分散的雷达回报，并将用于检查电离层，流星和绕太阳周围的物体中的短周期波和不稳定性。 连贯的回报将用于确定在心脏中心轨道中的流星和其他物体的轨道，并区分超极原点的流星。 自动流星检测算法将扩展到四通道干涉率，以提供比单独使用主束和更好地识别流星事件的更准确的流星轨迹。 为了增加天文台的效用，将开发出一种脉冲搜索算法，该算法可以在脉冲雷达运行时使用。 这将分析脉冲传输之间的间隔收到的信号。 该项目将利用现代互联网连接的较高带宽，并开发一个数据分析系统，在该系统中，该系统在Arecibo天文台，宾夕法尼亚州立大学和Geneseo纽约州立大学之间分布。