返回散射电离图智能判读

Backscatter ionogram intelligent interpretation

给出了一套完整的返回散射电离图智能判读算法,并在某返回散射探测系统中成功应用。利用返回散射电离图的距离和频率相关性,采用能量对比拉伸、低通频域滤波,连通域等算法去噪;依据干扰信号的时域统计特性,进行干扰抑制等图形预处理得到高质量的返回散射电离图。在此基础上,对最外层前沿描迹利用最小时延理论和加权最小二乘拟合算法进行确定;模式混叠区的前沿描迹采用Canny算子边缘检测技术,并利用信号能量和梯度加权算法进行确定。该算法解决了人工判读的非实时性,具有较高的精度。

A set of algorithms for intelligent interpretation of backscatter ionogram is proposed for the first time, which is successfully used in the backscatter system. According to the pertinence between distance and frequency, some algorithms of energy contrast tension, low-pass frequency filtering, connected domain to denoise. High quality backscatter ionogram is obtained by interference suppression preprocessing according to time domain statistic characteristics of interference, based on which the outermost layer frontal tracing curve is determined using minimum delay time and weighting least squares fitting method; frontal tracing curve in the mode- aliasing domain is determined using Canny operator edge detection, signal energy and weighted gradient algorithms. The realtime problem of manual interpretation is solved using the algorithms proposed with high precision.