ID 原文 译文
19125 然后着重介绍了CNN在雷达自动目标识别中的研究现状，其中详细介绍了合成孔径雷达(SAR)图像目标的检测与识别方法。 Then, the research status ofCNN in radar automatic target recognition is provided. The detection and recognition method of SAR imageare presented in detail.
19126 接下来对雷达自动目标识别面临的挑战进行了深入分析。 The challenge of radar automatic target recognition is analyzed.
19127 最后对CNN新理论、新模型，以及雷达新成像技术和未来复杂环境下的应用进行了展望。 Finally, the new theoryand model of convolution neural network, the new imaging technology of radar and the application to complexenvironments in the future are prospected.
19128 昆虫雷达是观测昆虫迁飞最有效的工具。 Insect radar is the most effective tool for insect migration observation.
19129 研究昆虫的雷达散射截面积(RCS)特性对于昆虫雷达目标识别有着重要意义。 In order to realize target recognition of insect radar, it is important to study the RCS characteristics of insects.
19130 该文将分析昆虫的静态RCS特性和动态RCS特性。 This paper will analyzethe static and dynamic Radar Cross Section (RCS) characteristics of insects.
19131 首先，基于实测的X波段全极化昆虫RCS数据，分析昆虫的静态RCS特性，包括水平和垂直极化RCS随体重变化规律以及昆虫极化方向图随体重的变化规律。 Firstly, based on the measured X-band fully-polarimetric RCS data, the static RCS characteristics of insects are analyzed, including thevariations of horizontal and vertical polarization RCS with body weight respectively, and the variation of insectpolarization pattern with body weight.
19132 其次，总结当前通过电磁仿真研究昆虫RCS特性所用到的介质和几何形状模型，并对比了水、脊髓、干皮肤和壳质与血淋巴混合物4种介质和等体型扁长椭球体、等质量扁长椭球体和三轴椭球体3种几何模型组成的12种介质模型，经过电磁仿真结果与实测数据相对比发现脊髓介质等质量扁长椭球体模型与实测昆虫RCS特性最接近。 Secondly, the dielectrics and geometric models currently used to studythe RCS characteristics of insects are summarized by electromagnetic simulation. Twelve dielectric models consisting of four dielectrics (including water, spinal cord, dry skin, and chitin and hemolymph mixture) and three geometric models (including equivalent size prolate spheroid, equivalent mass prolate spheroid and triaxial prolate spheroid) are compared, and it be found that the RCS characteristics of equivalent mass prolate spheroid are closest to that of the real insects.
19133 然后，基于Ku波段高分辨昆虫雷达外场实测昆虫回波数据，分析了昆虫动态RCS的起伏特性， Then, the fluctuation characteristics of insect dynamic RCS areanalyzed based on the insect echo data measured in field by a Ku-band high-resolution insect radar.
19134 将实测昆虫动态RCS起伏数据与4种经典的RCS起伏分布模型χ2, Log-normal, Weibull和Gamma分布分别进行了拟合分析， Themeasured insect dynamic RCS fluctuation data are fitted with four classical RCS fluctuation distribution models (χ2, Log-normal, Weibull and Gamma distribution), respectively.