摘要
分析了几类非高斯噪声模型的统计特性 ;在此基础上采用矩估计法给出了它们的模型转换算法 .采用无惯性非线性变换器研究了双模噪声环境下确定信号的最大似然检测方法 ;采用迭代法给出了双模噪声环境下余弦信号参量的最大似然估计方法 ;在此基础上从信号检测和参量估计性能两个方面验证了模型转换算法的有效性 .仿真结果表明 ,把双峰噪声当作双模噪声是准确的 .
The statistical characteristics of some non-Gaussian noises were analyzed. On this ground the moments estimations were used to deduce the models transformation algorithms of these noises. The inertialess nonlinear transformer was employed to research the maximum likelihood detections of deterministic signals; and the recurrence was adopted to study the maximum likelihood estimations of cosine signals parameters in bimodal noises; on these grounds the validities of models transformation algorithms were verified by ways of analyzing the performance of signals detections and parameters estimations. The simulation results indicated that it was exact to regard the bi-peak noises as bimodal noises. Thus it was demonstrated that the thought of bimodal noise is practicable.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第7期1090-1093,共4页
Acta Electronica Sinica
基金
国家自然科学基金 (No .60 0 62 0 0 1 )
关键词
非高斯噪声
双模噪声
最大似然准则
无惯性非线性变换器
Algorithms
Computer simulation
Mathematical models
Maximum likelihood estimation
Parameter estimation
Signal detection
Statistical methods
