一种天波返回散射噪声数据的识别方法

Algorithm for recognition of noise data from sky-wave backscatter

本文提出了一种天波返回散射全噪声数据的识别方法,首先,通过对全噪声数据特征参数的分析,总结了全噪声数据的特点,然后对全噪声数据进行区域划分处理,计算了各区域的均方差参数值,分析对比了弱能量数据与全噪声数据的特征参数差别,最后利用阈值法对数据类型进行判断.本算法具有简单、快速、准确率高的特点,为实时性的短波通信设备性能提升提供了支撑.

An algorithm for recognition of full noise data from backscatter of sky wave is proposed in this paper. Frist,analysis on the parameters of the full noise data and the distribution characteristics of the parameters were summarized,Then,divide the data into sections and calculate the mean square deviation for each section. At last,the weak energy data and the full noise data are analyzed,compared to judge the type of data by the threshold method. The algorithm was simpler,faster,and high accuracy,it provides support for the real time high frequency communication frequency selection.