基于因子图的自适应波束形成

图模型具有广泛的应用，它为许多问题提供了一种新的表达方式和研究思路。因子图作为一类重要的图模型，尤其适用于多变量的复杂统计模型。因子图的引入可以使复杂的多变量问题得到简化。因子图理论在系统建模以及信号检测和估计算法中有着重要的应用。国内外不少学者将因子图理论应用于复杂的通信信号处理，但目前很少见到将因子图理论应用在雷达信号处理中。为了将因子图理论作为一种有效的工具应用于雷达信号处理，提出了用因子图理论实现雷达信号处理中的自适应波束形成技术（ADBF）的方法，这为用图模型研究雷达信号处理提供了一个很好的思路。

Adaptive Beamforming Based on Factor Graph

The graph model is widely applied, which provides a new way of expression and research for many problems. As a kind of important graph model, factor graph is especially suitable for the complex statistical model of multivariate. With factor graph, the complex problem is simplified. Factor graph theory plays an important role in system modeling, signal detection and estimation algorithms. It has been used to complex communication signal processing, but few scholars have paid attention to the applications of factor graph theory in radar signal processing. In order to make the factor graph theory to be a useful tool in radar signal processing, we proposed a method that can accomplishes the adaptive digital beamforming (ADBF) in radar signal processing by factor graph theory. Our work provides a good idea for the study of application of graph model in radar signal processing.