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实测飞机数据
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  airplane data
     Experiments based on the ISAR radar airplane data demonstrate an improvement of the proposed method on classification performance .
     基于航天二院的ISAR实验雷达实测飞机数据的实验表明该方法是一种行之有效的识别方法。
短句来源
     Experimental results based on the ISAR radar airplane data demonstrate the improved performance with the proposed method.
     基于ISAR雷达实测飞机数据的实验结果证明了该方法的有效性。
短句来源
  “实测飞机数据”译为未确定词的双语例句
     Finally ,the outdoor measured ISAR data of aircrafts are processed and the imaging results are compared with each other.
     最后利用雷达外场实测飞机数据比较了它们的成像结果。
短句来源
     Experimental results of the proposed method for real-life ISAR data target recognition together with a comparison to the RBF and the MCC-TMM method,indicate effectiveness and efficiency of the proposed method.
     对ISAR实测飞机数据的分类实验及与模板匹配法和RBF识别方法的比较,获得了良好的识别结果,表明了该方法的可行性和有效性。
短句来源
  相似匹配句对
     The efficiency and feasibility of the method is confirmed by the test based on the real data of airplane.
     基于飞机目标实测数据的实验验证了该方法的有效性。
短句来源
     DATA & INFORMATION
     数据
短句来源
     DATA
     数据
短句来源
     Finally ,the outdoor measured ISAR data of aircrafts are processed and the imaging results are compared with each other.
     最后利用雷达外场实测飞机数据比较了它们的成像结果。
短句来源
     Experimental results based on the ISAR radar airplane data demonstrate the improved performance with the proposed method.
     基于ISAR雷达实测飞机数据的实验结果证明了该方法的有效性。
短句来源
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  airplane data
Time correlation to relate the strain gage data to the airplane data.
      
Their scale is much too small to be directly observed even with airplane data.
      


Motion compensation is the key of ISAR imaging,and is usually carried out in two steps. First,compensate the time delay of complex envelope ,which is a roughly alignment. Second,search for a reference point to precisely adjust the initial phase,which is usually referred to as autofocusing. The paper presents two improved autofocusing techniques called weighted multiple scatterer algorithrn (WMSA)and improved scatter centroid tracking (ISCT). They are analyzed and compared with the dominant scatterer algorithm...

Motion compensation is the key of ISAR imaging,and is usually carried out in two steps. First,compensate the time delay of complex envelope ,which is a roughly alignment. Second,search for a reference point to precisely adjust the initial phase,which is usually referred to as autofocusing. The paper presents two improved autofocusing techniques called weighted multiple scatterer algorithrn (WMSA)and improved scatter centroid tracking (ISCT). They are analyzed and compared with the dominant scatterer algorithm (DSA). Finally ,the outdoor measured ISAR data of aircrafts are processed and the imaging results are compared with each other.

运动补偿是ISAR成像中的关键。通常分粗、精补偿两步进行。粗补偿是回波包络的粗略对齐,而精补偿则是寻找一个相位参考点进行回波相位的精细调整,通常称为聚焦。本文提出了两种改进的聚焦法,即加权多特显点综合法(WMSA)和改进的散射重心跟踪法(ISCT),并与孤立点法(DSA)作了分析比较。最后利用雷达外场实测飞机数据比较了它们的成像结果。

Pre-processing of radar target recognition with high-resolution range profiles(HRRPs) is a significant but difficult point in improving recognition performance.A new signal pre-processing method based on statistic features is proposed,which successfully increases the Euclidean distance among feature vectors of separate targets by a nonlinear transform of HRRPs,thus enhancing the recognition performance.Experimental results based on the ISAR radar airplane data demonstrate the improved performance with the proposed...

Pre-processing of radar target recognition with high-resolution range profiles(HRRPs) is a significant but difficult point in improving recognition performance.A new signal pre-processing method based on statistic features is proposed,which successfully increases the Euclidean distance among feature vectors of separate targets by a nonlinear transform of HRRPs,thus enhancing the recognition performance.Experimental results based on the ISAR radar airplane data demonstrate the improved performance with the proposed method.

雷达目标识别的预处理工作是高分辨距离像领域中的重要组成部分,也是提高识别率的重点和难点。给出了一种结合信号统计特性的信号预处理方法,通过对高分辨距离像(highresolutionrangeprofiles,HRRP)的非线性变换作为特征,有效地拉大了异类目标信号之间的欧氏距离,从而提高了分类的识别率。基于ISAR雷达实测飞机数据的实验结果证明了该方法的有效性。

Radar high-resolution range profile(HRRP) is very sensitive to target-aspect variation.Dynamic aspect warping is presented to tackle this aspect sensitivity for high resolution range profile radar target recognition.The method can be used to find the best matching route through nonlinear warping between test data and a template sequence where the matching distance between the test data and the template sequence becomes the smallest for achieving the target recognition.Experimental results of the proposed method...

Radar high-resolution range profile(HRRP) is very sensitive to target-aspect variation.Dynamic aspect warping is presented to tackle this aspect sensitivity for high resolution range profile radar target recognition.The method can be used to find the best matching route through nonlinear warping between test data and a template sequence where the matching distance between the test data and the template sequence becomes the smallest for achieving the target recognition.Experimental results of the proposed method for real-life ISAR data target recognition together with a comparison to the RBF and the MCC-TMM method,indicate effectiveness and efficiency of the proposed method.

针对高分辨雷达距离像的方位敏感性问题,将应用于语音处理的动态时间弯折技术引入高分辨距离像雷达目标识别领域,提出了一种动态方位弯折技术,该技术通过将测试数据与模板特征序列进行非线性伸缩(弯折),获得测试帧与模板之间最小匹配距离对应的最佳匹配路径,实现对测试数据的目标识别。对ISAR实测飞机数据的分类实验及与模板匹配法和RBF识别方法的比较,获得了良好的识别结果,表明了该方法的可行性和有效性。

 
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