基于窄带混合高斯噪声的最佳检测

论文首先研究高斯柯西卷积噪声模型和窄带混合高斯噪声模型用来对混响建模,前者主要用于仿真分析,而后者因其参数有明确物理意义且可通过样本序列估计得到,因此被用于海洋的工程实现.文章重点研究混合高斯噪声背景下确知信号的非高斯最佳检测器的构造,并对检测器进行了仿真.验证结果表明混合高斯噪声背景下确知信号的非高斯最佳检测器检测性能优于常规的匹配滤波器3～4.5 dB.

The Optimum Detection in the Noise Based on Narrow-band Mixture Gaussian Model

The article considers the convolution of Gause-Cauthy noise model and Narrow-band mixture Gausse noise at first. The asymptotic performance of several estimation procedures is explored. The results indicate that the Narrow-band mixture model can describe the probability density function of a non-Gaussian sequence precisely and the methods of parameters estimation can estimate the parameters well and truly. In the following parts, the non-Gaussian optimum processing detectors in detection of known signals in additive non-Gaussian noise is derived. Through verifying these detectors from simulation, the results indicate that the non-Gaussian optimum processing detector in detection of known signals is superior to the match detectors 3-4. 5 dB.