小功率高频返回散射电离图的自动判读  

Automatic scaling for low-power HF backscatter ionograms

作　　者：胡耀垓[1] 宋欢[1] 姜春华[1] 赵正予[1] 

机构地区：[1]武汉大学电子信息学院,湖北武汉430072

出　　处：《华中科技大学学报（自然科学版）》2016年第6期104-110,共7页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(41327002;41375007);湖北省自然科学基金青年杰出人才资助项目(2011CDA099)

摘　　要：针对小功率斜向返回探测装置,提出了一套完整的返回散射电离图自动判读算法.该算法根据电离图中的垂测回波信息和E层、F层的回波幅度差来识别电离图的传播模式,在此基础上利用最小群时延理论提取电离图回波的前沿点,通过残差分析去除伪前沿点,然后采用多元线性回归模型拟合前沿点,得到光滑的前沿拟合曲线.返回散射电离图自动判读结果表明:自动判读算法充分利用了电离图回波前沿特征和回波幅度信息,能够有效识别电离图的传播模式和前沿,解决了人工判读的非实时性问题,为斜向返回探测技术的广泛应用奠定了基础.A method for the low-power oblique backscatter sounding system was proposed to automatically scale high frequency （HF） swept-frequency baekseatter ionograms. This method was based on the vertical echo characteristics of the ionograms and echo signal amplitude differences between E layer and F layer to identify the propagation mode of the ionograms. The leading edge points were extracted by using minimum group delay theory and the pseudo points were removed by using residual analysis. Lastly, smooth fitting curves could be obtained by using multiple linear regressive models to fit the leading edge points. Automatic scaling results show that the whole proeess of this method can take full advantages of echo characteristics and echo amplitude messages in the ionograms, whieh can efficiently identify propagation modes and leading edge curves, solving the non-real time question of man- ual scaling and providing an opportunity for the extensive use of oblique backscatter soundings.

关 键 词：返回散射电离图 自动判读 模式识别 小功率 前沿提取 

分 类 号：P352[天文地球—空间物理学]