简化B类噪声模型的参数估计

通信接收机的前置窄带滤波器波改变了非高斯脉冲噪声的幅度统计特性，B类噪声模型可以很好地描述窄带非高斯噪声幅度概率分布. 该文提出一种基于特征函数谱的B类噪声模型参数估计算法，其特点是采用最小均方梯度法求非线性代价函数的解. 计算机仿真验证结果表明：该算法具有快速收敛和复杂度低的优点，并给出了算法的详细推导过程.

Parameter Estimation for Simplified Class B Noise Model

The amplitude probability distribution (APD) of impulse noise can be changed when input single of communication receiver is filtered using a narrow-band filter. It is verified that the Middleton’s Class B model can be made to fit the APD of narrow bandwidth non-Gaussian noise. In this paper, the efficient estimation of the Class B model parameters based on characteristic function with least square gradient method is derived. The considered estimator has fast convergence and low computational complexity, with performance approaching theoretical up-limit for large data samples. Derivation of the estimator for the noise model parameters, and simulation results using this estimator with three unknown parameters are presented.