有色非高斯背景下微弱信号的Rao有效绩检验

混合高斯Rao有效绩检验是实现有色非高斯背景下微弱信号检测的渐近最佳检测器,预白化和高斯化技术的应用使得它的检测性优于传统的匹配滤波器.在使用混合高斯自回归模型描述检测问题之后,基于功率谱密度和概率密度参数估计,引入预白化和高斯化滤波器,构建起模块化的、实用的混合高斯Rao有效绩检测器.然后对其检测性能进行了深入分析,揭示了预白化和高斯化技术改善检测性能的机理所在.最后给出了一组湖试数据检测实例.

The Rao Efficient Scores Test of Weak Signals in Colored Non-Gaussian Background

The Rao efficient scores test is an asymptotic optimal detector to test weak signals in colored non- Gaussian background. Since applying technologies of prewhitenning and gaussianization, it can get better detecting performance than conventional match filter. Gaussian mixture autoregressive model is addressed with the test problem being described. Estimations of parameters for this model are required for construct of the detector. Based on these parametric estimations, the filters of prewhitenning and gaussianization are applied in constructing the practical modular Rao efficient scores test. With its detecting performance being analyzed deeply, the causes why technologies of prewhitenning and gaussianization can improve detecting performance are brought to light. Finally, a test instance with lake trial data is illustrated.