RIA: Frequency-Domain Array Processing with Real Signal Vectors

这项研究涉及到最近由首席研究员在窄带无源阵列处理领域开发的方法的扩展。该方法涉及使用真实的转向向量，而不是传统的复杂转向向量，这将允许处理比以前可能的更多的信号和/或在存在任意噪声振幅分布的情况下处理信号。第一阶段的研究包括将这些方法扩展到宽带无源阵列处理；因此，利用不一定是窄带的信号的整个频率支持。第二阶段将是开发有效的方法来实现窄带和宽带算法，因此，从计算的角度来看，使这些方法实用。这一阶段将依赖于数值非线性优化理论中的方法，这些方法以前没有应用于阵列处理问题。

This research involves the extension of methods recently developed by the principal investigator in the area of narrowband passive array processing. The approach involves using real steering vectors rather than traditional complex steering vectors which will allow the processing of more signals than was previously possible and/or the processing of signals in the presence of arbitrary noise amplitude distributions. The first phase of research involves the extension of these methods to wideband passive array processing; thus, taking advantage of the entire frequency support of signals which may not necessarily be narrowband. The second phase will be the development of efficient methods to implement both the narrowband and the wideband algorithms and, consequently, making these methods practical from a computational viewpoint. This phase will rely on methods in numerical nonlinear optimization theory which have not previously been applied to array processing problems.