Enhanced Detection and Imaging with Frequency Diverse Data

使用频率分集数据增强检测和成像

• 批准号: 8920602
• 负责人: Nihat Bilgutay
• 金额: $ 10.3万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-07-01 至 1993-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8920602&HistoricalAwards=false
• 关键词: Enhanced; Detection; Imaging; Frequency; Diverse

The primary goad of this project is the development of signal processing algorithms that reliably detect and image targets embedded in a medium of stationary and randomly distributed scatterers. The major contribution of this work is a detailed study of the relationship between scattering structures and the phase behavior of back-scattered signals with respect to frequency and space. Analytical investigations and computer simulations are being developed for predicting the resultant signal features for noise and target echoes by integrating the deterministic and statistical relationships between the signal wavelength, scatterer size, and scatterer spatial distribution. Experimental investigations are being carried out in parallel with the analytical analysis and computer simulations. Data collected from various material samples with known flaws, and statistical characterizations of the phase and amplitude behavior over frequency and spatial variations are used to validate theoretical predictions. In addition, design procedures are being examined for developing adaptive nonlinear detectors that utilize frequency-diverse properties of the signals. The results of this study will identify critical signal features for the development of enhanced signal imaging and detection algorithms.

本项目的主要目标是信号处理的发展 可靠地检测和成像嵌入在介质中的目标的算法 固定和随机分布的散射体。 主要 这项工作的贡献是详细研究的关系 散射结构和后向散射的相位行为之间的关系 信号的频率和空间。 分析调查 并且正在开发计算机模拟来预测 噪声和目标回波的合成信号特征， 信号之间的确定性和统计关系 波长、散射体尺寸和散射体空间分布。 实验研究正在与 分析和计算机模拟。 收集的数据 已知缺陷的各种材料样品， 相位和幅度特性随频率的变化， 空间变化用于验证理论预测。 在 此外，正在审查设计程序，以开发适应性 非线性检测器，其利用信号的频率多样特性， 信号. 本研究的结果将确定关键信号 增强信号成像和检测的发展特点 算法