一种局部最优的非高斯接收机设计

The Design of a Local Optimum Non-Gaussian Receiver

在超低频通信中,由于非高斯噪声的严重干扰,传统的基于高斯噪声的接收机的性能恶化。本文提出了一种在非高斯噪声环境下局部最优的接收机设计,具体推导了局部最优检测在非高斯噪声模型下的FFT快速实现算法,该算法充分利用了FFT算法在运算速度上的优势,大大降低了运算复杂度。非高斯噪声模型采用广泛应用的Class B统计物理模型。仿真实验表明,局部最优接收机性能明显优于传统的匹配滤波检测器,运算速度快且易于硬件设计实现,有很高的实用价值。

In ultra - low frequency communication, due to serious interference of non - Gaussian noise, the performance of receiver which is based on the Gaussian noise becomes worse . This paper presents the design.of a locally optimal receiver which is used in the non- Gaussian noise environment. It derives the FFT fast algorithm of the local optimum detection of non - Gaussian noise model and this algorithm makes full use of the FFT algorithm in computing speed, greatly reducing the computational complexity. Class B noise model is widely used non- Gaussian statistical physics model. Simulation results show that the performance of locally optimal receiver is significantly better than the conventional matched filter detector, the operation is fast and easily implemented in hardware and it has a high practical value.