未知高斯有色噪声中的自适应信号检测与参数估计
Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise
摘要：
本文研究了高斯有色噪声干扰下的一般信号检测和参数估计问题。通过自回归过程建模的干扰，我们提出了三个信号检测器与不同的未知参数下的一般框架下的二元假设检验。给出了这三种检验的参数估计的封闭形式和渐近分布。给出了调频信号检测问题和时间序列运动目标检测问题的两个例子，仿真结果验证了三种检测器的有效性。
英文摘要：
This paper considers the general signal detection and parameter estimation problem in the presence of colored Gaussian noise disturbance. By modeling the disturbance with an autoregressive process, we present three signal detectors with different unknown parameters under the general framework of binary hypothesis testing. The closed form of parameter estimates and the asymptotic distributions of these three tests are also given. Given two examples of frequency modulated signal detection problem and time series moving object detection problem, the simulation results demonstrate the effectiveness of three presented detectors.
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