Enhanced Detection and Imaging with Frequency Diverse Data

该项目的主要目标是开发能够可靠地检测和图像嵌入在平稳和随机分布的散射体介质中的目标的信号处理算法。这项工作的主要贡献是详细研究了散射结构与后向散射信号的相位行为与频率和空间之间的关系。通过整合信号波长、散射体大小和散射体空间分布之间的确定性和统计关系，正在开发分析研究和计算机模拟，以预测噪声和目标回波的结果信号特征。实验研究与分析分析和计算机模拟同时进行。从具有已知缺陷的各种材料样品中收集的数据，以及相位和振幅随频率和空间变化的统计特征，用于验证理论预测。此外，正在研究设计程序，以开发利用信号的频率变化特性的自适应非线性检测器。这项研究的结果将为增强信号成像和检测算法的发展确定关键信号特征。

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.