顾及多距射影空间测量方法的自适应雷达信息质量评估  

Adaptive radar information quality assessment considering multi-range projective spatial measurement method

作　　者：罗剑雄 Luo Jianxiong(Unit 92602of PlA,Ningbo,Ningbo 315031,China)

机构地区：[1]解放军92602部队,宁波315031

出　　处：《电子测量技术》2020年第8期149-153,共5页Electronic Measurement Technology

摘　　要：识别和消除杂波是确保雷达信息数据质量的必要条件。对于信号处理后的未校正扫描反射率,通常通过水平插值,高污染的非污染PPI外推或基于降水类型的分类将两者结合来重建被去除的区域。提出了一种顾及多距射影空间测量方法的自适应雷达信息质量评估方法。该方法通过多维半变异函数提供的场空间和时间变化来适应数据类型,并与最初观察到的值在无杂波区域上进行比较,以及通过与来自雨量器的信息数据累积进行比较,并在真实的杂波污染区域上进行评估。实验结果表明:体积-时间重建(high value volum,HVN)通常优于体积重建(high volum,HV),而HVN获得的结果通常与HV的结果非常相似。Identifying and eliminating clutter is a necessary condition to ensure the quality of radar information quality assessment data. For signal-processed uncorrected scan reflectivity, the removed regions are typically reconstructed by horizontal interpolation, high-pollution non-polluting PPI extrapolation, or precipitation-based classification. We propose an adaptive radar information quality assessment method that considers the multi-range projective spatial measurement method. The method adapts to the type of precipitation by considering the spatial and temporal variations of the field provided by the multidimensional semi variogram. It is compared to the initially observed values on the clutter free area and evaluated on the real clutter contaminated area by comparison with the accumulation of information data from the rain gauge. The experimental results show that HN is usually better than HV, and the results obtained by HVN are usually very similar to the results of HV.

关 键 词：多距射影空间测量方法 自适应雷达 信息质量评估 变化量 

分 类 号：TN95[电子电信—信号与信息处理]