极化检测是雷达目标检测的一个重要分支。
Polarization detection is an important branch in radar target detection.
本文提出了雷达目标的一种新的识别方法。
A new method for the recognition of radar targets is presented. A new method for recognizing radar targets is presented.
利用多重变换，提出了一种雷达目标识别方法。
A recognition method of radar target was presented by using multi transform.
本文研究阻抗加载对雷达目标微波成像的影响。
The effects of impedance loading on microwave imaging of radar target are investigated.
研究了宽带高分辨雷达目标识别中的特征压缩问题。
The problem of feature compression in high-resolution radar target recognition is studied.
研究了一种基于非相参雷达目标回波的特征提取算法。
The method of radar target waveform feature extraction is studied based on non coherent radar target echo.
提出了基于局部积分双谱与SVM的雷达目标识别方法。
The method for radar target recognition using local integral bispectrum and SVM is proposed.
本文讨论的信息融合是针对雷达目标识别航迹关联问题。
This information fusion discussed in this paper aims at the problem of target track correlation of radar.
雷达信号模拟主要是对雷达目标和环境回波信号的模拟。
The radar signal simulation is mainly used to simulate the signal of the target and its condition.
低分辨雷达目标智能识别一直是雷达目标识别研究领域的难点。
Target Intelligent Recognition (TIR) of the low-resolution radar has been a difficulty in radar target recognition field.
本文主要对高分辨距离像雷达目标识别方法进行了研究和探索。
This thesis mainly investigates the methods of radar target recognition based on High Range Resolution Profile (HRRP).
散射中心模型是描述光学区雷达目标电磁散射特性的重要工具。
Scattering center model describes the scattering characteristic of radar targets in optical region.
本文对AIS与雷达目标位置数据融合方法进行了初步的研究。
This paper studies at the data fusion of AIS and radar objects.
在雷达目标识别研究中，获取有效的雷达目标特征信号非常重要。
In radar target recognition research, it is very important to obtain effective radar target signature signal.
近年来，在雷达目标识别技术的几个主要研究方面已取得若干进展。
In recent years, some progresses have been obtained in the main research aspects for radar target recognition techniques.
雷达目标模拟航迹产生的数据是进行各种雷达数据处理研究的前提。
The data of radar target track simulation is the precondition of kinds of radar information research.
本文提出了一种新的基于目标一维散射中心匹配的雷达目标识别方法。
This paper presents a new approach to radar target classification based on one-dimensional scattering centers matching.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
CFAR detection of radar targets in heavy clutter background is an important unit in radar signal processing.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
CFAR detection of radar targets in heavy clutter background is an important part in radar signal processing.
雷达目标散射中心的参数估计对目标特性分析和目标识别有重要意义。
Parameter estimation of radar target scatterer plays an important role in the process of target characteristics analysis and target recognition.
应用这一参数模型，雷达目标可由一个或多个散射中心的特性加以描述。
The model can be used to describe the radar target as a set of attributed scattering centers.
雷达目标模拟器是用于产生包含目标以及雷达环境信息的雷达回波信号。
Radar target simulator is used to generate radar echo signal comprised of target and radar environment.
根据量纲分析原理，提出了关于有耗雷达目标表面阻抗的相似准则关系式。
Drawing on the experience of the principle of similitude in hydrodynamics, the formula of similitude-criterion concerning the surface impedance of target is proposed in this paper.
本文研究了一种新的高频地波超视距雷达目标距离以及方位角超分辨问题。
Super resolution for target range and azimuth Angle of a novel bistatic HF-Surface Wave Radar (HF-SWR) is investigated.
雷达目标模拟器主要用于复现蕴含雷达目标信息和杂波信息的雷达回波信号。
The radar target simulator is mainly used for producing radar echo signal, which contains radar targets and clutter information.
这种方法能够处理大型的实际雷达目标，对于标准目标的计算结果符合得很好。
The method is capable of handling realistic radar target and good agreement with measured results is achieved for benchmark targets.
介绍某雷达目标方位自动显示的方位角测试算法、系统的硬件设计和软件设计。
The azimuth testing algorithm for a radar target is introduced in this paper, and the design of system hardware and software is presented.
雷达目标散射中心分布的研究是雷达目标特性建模与识别工作的一个重要部分。
In modern radar applications, the research about distribution of main scatterers on the target is very important for target modeling and identification.
本文研究了雷达目标识别过程中关于目标的编码、分类特征的提取与选择等问题。
A new method for extracting radar target pole features from its RCS is presented in this paper.
研究了支撑矢量机的分类机理，并利用支撑矢量机对雷达目标一维像进行了识别。
The classification mechanism of support vector machine (SVM) was analyzed in detail. The one dimensional image of radar target was recognized by SVM.
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