返回散射电离图的前沿提取方法

摘要

Algorithms for automatic backscatter ionogram scaling are established. The algorithms are used in the backscatter sounding system developed by China Research Institute of Radiowave Propagation （CRIRP） and show good results. The autoscaling system has been developed in two overall stages. The first stage is the automatic cleaning of a raw ionogram, which filters the raw ionogram to remove the interferences and noises. The second stage is to extract features from the clean ionogram, such as the propagation modes, the leading edges, etc., and this paper describes part of this work. Methods for extracting backscatter ionogram leading edges are presented. For a single layer or the lower one of two layers, the leading edge is extracted by edge identification algorithm on the ionogram with interferences and noises removed. For the upper one of two layers, the leading edge is extracted by power and gradient algorithm based on Gaussian-fashion weights on the ionogram just after interference suppression. The methods given in this paper have high accuracy and are easy to implement. They are applied successfully in several projects.%提出了返回散射电离图前沿提取的方法．其中，一层电离图前沿和两层电离图下面一层前沿是在消除干扰和噪声后的电离图上采用边缘识别方法进行提取的，两层电离图上面一层前沿则是在仅经过干扰抑制的电离图上采用基于高斯型加权系数的能量梯度算法进行提取的．本文提出的前沿提取方法准确率较高，并且易于实现，已在工程中得到应用．