Research Initiation: Model-Based Statistical Array Signal Processing for High Resolution Imaging

研究启动：基于模型的高分辨率成像统计阵列信号处理

• 批准号: 8810412
• 负责人: Yoram Bresler
• 金额: $ 7万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-06-01 至 1991-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8810412&HistoricalAwards=false
• 关键词: Research; Initiation; Model; Based; Statistical

This project is concerned with the use of parametric models in high resolution imaging algorithms for sensor arrays. The two primary objectives are: (1) to characterize fundamental performance limitations, and (2) develop novel optimal algorithms for image acquisition and processing that exploit the underlying physical models for the signal and available prior knowledge about the target. The VLSI implementation aspects of the algorithms will be emphasized. Application areas include radar and sonar synthetic aperture imaging, radio-astronomy, and acoustical medical imaging.

本项目涉及参数模型在 用于传感器阵列的高分辨率成像算法。 两 主要目标是：（1）基本特征 性能限制，以及（2）开发新的优化算法 用于图像采集和处理， 信号的物理模型和可用的先验知识 关于目标 的VLSI实现方面， 将强调算法。 应用领域包括雷达 声纳合成孔径成像，射电天文学， 声学医学成像