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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 .由此说明双模噪声思想是一种实用的想法
The statistical properties of several types of non-Gaussian noise models are analyzed, and based on this, their model transformation algorithms are given by moment estimation method.The maximum likelihood detection of deterministic signals under dual-mode noise is studied by using a non-inertial nonlinear transformer The iterative method is used to estimate the maximum likelihood of the cosine signal in dual-mode noise environment. Based on this, the effectiveness of the model-switching algorithm is verified from the aspects of signal detection and parameter estimation performance. The simulation results show that, Using bimodal noise as a dual-mode noise is accurate, which shows that dual-mode noise is a pragmatic idea