高精度数字式高斯白噪声发生器的FPGA实现

The FPGA Implementation of High-precision Digital Gaussian White Noise Generator

高斯随机白噪声是一种常用的信号形式,在信号分析和信号处理中具有重要价值。文中介绍了一种基于混沌映射法的高精度数字式高斯白噪声发生器的设计方案,它改进了传统的蒙特卡洛方法,利用映射函数方法实现均匀分布噪声到高斯分布噪声的快速转换,最大限度地降低运算量,是一种较理想的噪声信号产生方法。该噪声发生器可以快速产生周期长、性能稳定、噪声统计特性好的高斯宽带白噪声,具有很大的实用价值。文中给出了原理分析、系统设计及实际应用结果。

Gaussian random white noise is one of the mostly used signal form and is widely used in digital signal processing and analysis. This paper introduces a design method of high-precision digital Gaussian white noise Generator based on chaotic mapping. The chaotic mapping method of generating Gaussian white noise improves the traditional Monte Carlo method and redwced calculation amount function mapping method. So the method is a very ideal one to generate noise signal. The generator has great application value because it can generating long-period, stable, good statistical characteristic and broadband Gaussian white noise very quickly. The analysis of design principle, block diagram and practical results are described.