要验证或者建立自动目标识别方法，必须建立详尽的雷达目标数据库。
An exhaustive radar target database has to be established, in order to verify or to construe methods for Automatic target Recognition.
敌人的雷达一但被发现，系统能自动地把信号与它的数据库比较并且优先目标的威胁。
Once the enemy radar is detected, the system can automatically compare the signal with its database and prioritise the threat of the target.
根据中段弹道目标的运动学特性，结合室内缩比模型RCS静态测量数据，提出了一种雷达目标动态rcs仿真的方法。
According to the kinetic characteristic of targets in midcourse and the RCS data of static measurement of the model, a simulation method for dynamic RCS data of radar targets is proposed.
通过对大量公用数据集的测试以及在实际的雷达目标识别系统中应用，方法有效性得到了证明。
The validity of this method is proven by testing lots of common data sets and practical application in radar target recognition system.
以某近程目标指示雷达为例，论述武器装备之间数据转换的目的、意义和工程实现方法等。
This paper takes a close range target indication radar as an example to present the purpose, meaning and engineering implementation of data conversion between various weapons.
使用卡尔曼滤波器对机载火控雷达及其它传感器提供的数据进行处理，可以得到空对空射击火力控制需要的目标运动信息。
The target movement information which AA gunshot fire control needs can be provided by using Kalman filter to process the dada offered by on board fire control radar and other sensors.
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.
目标跟踪技术作为雷达数据处理的重要组成部分，当前已成为人们研究的热点之一。
As an important aspect on radar data processing, target tracking has becoming one of the international popular research fields.
考虑到单传感器的系统存在着局限性，提出了基于多传感器(雷达和红外)信号融合的目标识别和跟踪系统，以利用数据的互补和冗余。
This paper presents the approaches of multi sensor (radar and infrared sensor) data fusion for object recognition and tracking, which can make use of the complement and redundancy of data.
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.
通过接口电路将运动目标的数据转换为雷达信号，包括触发脉冲、方位脉冲、正北标志及视频脉冲信号。
Target data are transformed into radar signals, including the trigger pulses, the azimuth pulses, the north mark and the radar video signals through the interface circuits.
雷达和红外数据共同作为神经网络的输入，输出为目标的最优融合估计。
The processed data are transmitted to the central neural network where a fused estimation of target is formed.
动态目标雷达回波数据应用于算法验证、目标特性分析等等，在工程上有着重要的价值。
Radar return data of moving targets are used to validate arithmetic and analyze targets 'characteristic and have significant value in engineering.
进而将两种SVD算法应用在特征子空间雷达目标一维距离像识别法中，使用实测数据对其进行速度验证和性能评估。
Then, the performance of two SVD algorithms and feature subspace radar target recognition algorithm based on SVD are evaluated according to real data of planes.
由于集成广义模糊函数是多项式相位信号分析的理想工具，本文将其用于非刚性多目标分辨中，通过对雷达实测数据的分析，表明这是非常有效的。
The IGAF is used to resolve nonrigid multitarget for it is an ideal tool to analyze polynomial phase signals, and it is proved to be effective by analyzing the radar data.
基于目标和地面电磁反射特性数据库的信息和雷达探测模型，实现了雷达图像动态生成。
By the use of the electromagnetic reflection information of targets and ground in database, the radar detection model can generate radar image dynamically.
针对匀速航路、匀加速航路和拐弯航路的数字仿真得出：序贯滤波、并行滤波和最优数据压缩滤波可以很好的跟踪目标且精度较单雷达跟踪有明显的改善。
The conclusion is that sequential filtering, parallel filtering and optimal data compress filtering can run after all kinds of track and the precision of tracking is better than radar.
针对雷达组网目标跟踪系统中，单雷达系统偏差严重影响多雷达航迹数据关联及融合跟踪质量的问题，提出了一种联合数据关联与系统偏差估计的方法。
A joint data association and bias estimation method is proposed to handle the negative effect of individual radar bias to track association and fusion in radar networks for target tracking.
这种“昆虫监测雷达”（IMR）造价低廉，可自动采集并通过电话网远程传输观测数据，其ZLC制式使其能够获得高质量的迁飞个体的飞行参数从而提高目标鉴别能力。
These relatively low cost Insect Monitoring Radars (IMRs) employ a novel "ZLC" configuration that allows high quality data on the migrants' flight parameters and identity to be acquired.
全时空探测雷达是近年来提出的一种新体制雷达，具有同时多功能、数据率灵活可调、目标识别能力强等优点。
Ubiquitous radar is a new type of radar proposed recently, which can achieve simultaneous multi-function capability, flexible data rate and high ability in target recognition.
弹道目标的跟踪是雷达数据处理的一项关键技术，航迹起始作为目标跟踪的首要问题，重要性是不言而喻的。
As a primary problem of Ballistic target tracking which is a key technology in radar data processing, tracking initialization plays a very important role.
新模型不仅考虑到目标是光学区复杂目标的情形，而且分析了目标运动形成的多普勒频率对回波数据的影响，使动态目标雷达回波模拟数据更接近于真实。
The new model considers the state that the target is a comprehensive target, and includes the influence of the targets'movement. The data based on this model is more actual than the stop-and-go model.
最后，本文应用所建立模型对机载pd雷达的实测数据和导引头雷达的实测数据分别进行了处理和分析，对目标的相关信息进行检测和分析，进一步验证建模的正确性。
Last the established models are used to process and analysis measured data of airborne PD radar and radar seeker to detect the targets and verify the correctness of all the models again.
利用估计的目标入射角实现折射校正及前视探地雷达多视处理。对实测数据进行处理，结果证明了该方法的有效性。
By estimating the incidence Angle of target, the refraction correction and the multi-look processing are accomplished. The effectiveness of the approach is demonstrated with experimental data set.
开展了海图数据与雷达图像的叠加研究，能够显示来自ARPA雷达的目标信息与雷达回波图像。
Research on radar image& chart graph overlapping technique in ECDIS was made, object's information from ARPA and radar echo images can be displayed.
然后通过对目标RCS回波数据进行多项式拟合，估计进动参数，以此为雷达目标识别提供新的技术思路。
The polynomial model fitting for radar cross section (RCS) of target is used for estimating the parameters of precession, which provides a new way for radar target discrimination.
利用合成孔径雷达（SAR）图像中目标的后向散射特性和目标散射中心的理论，分析了SAR图像数据稀疏性的成因。
The sparsity of SAR image data was discussed based on the backscattering properties of targets in the image.
在分类器设计环节，比较五种核非线性分类器，并根据宽带极化雷达目标散射数据的特点，使用融合分类的方法对目标进行分类。
In classification stage, five kernel-based classifications are used and compared, and fusion methods are designed for wide-band polarimetric radar target classification.
在分类器设计环节，比较五种核非线性分类器，并根据宽带极化雷达目标散射数据的特点，使用融合分类的方法对目标进行分类。
In classification stage, five kernel-based classifications are used and compared, and fusion methods are designed for wide-band polarimetric radar target classification.
应用推荐