电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（课件讲稿）Chapter 07 Maximum Likelihood Estimator（MLE）

Signal Model Estimator-correlator

Deterministic Approach Neyman-Person Theorem Receiver Operation Characteristics Bayesian Approach Minimum Probability of Error Bayes Risk Multiple Hypothesis Test

11.1 Chapter highlights • Parameter estimation in WGN • Amplitude estimation in the coherent case • Amplitude estimation in the noncoherent case • Phase estimation in WGN • Time-delay estimation in WGN • Frequency estimation in WGN 11.2 Parameter estimation in WGN 11.4 Amplitude estimation in the coherent case with WGN 11.5 Amplitude estimation in the noncoherent case with WGN 11.6 Phase estimation in WGN 11.7 Time-delay estimation in WGN 11.8 Frequency estimation in WGN

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（课件讲稿）Chapter 09 Nonparametric detection

6.1 Chapter highlights • Composite hypothesis testing. • Unknown phase. • Unknown amplitude. • Unknown frequency. • Unknown time of arrival. 6.2 Composite hypothesis testing 6.3 Unknown phase 6.4 Unknown amplitude 6.5 Unknown frequency 6.6 Unknown time of arrival

4.1 Chapter highlights • Hypothesis testing and the MAP criterion • Extension to the general Bayes criterion • Minimax criterion • Neyman-Person criterion 4.2 Hypothesis testing & MAP criterion 4.3 Bayes criterion 4.4 Minimax criterion 4.5 Neyman-Pearson criterion

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（教学大纲，何子述）

一、谱分析方法概述 二、自回归滑动平均模型 三、自回归谱的建模与估计 四、谱估计综合举例

5.1 与卫星有关的误差 5.2 与信号传播路径有关的误差 5.3 与接收设备有关的误差 5.4 其它误差