测速雷达信号识别是进行辅助决策的关键。
The recognition of velocity radar is critical to the assistant strategy.
雷达信号特征提取是雷达信号识别中的重要组成部分，直接影响到识别效果的好坏。
The extract of radar signal feature is the important part of radar signal identification, which affects directly identification effect.
这本书介绍了如何识别不同类别的雷达信号，并确定其来源和位置。
The book explains how to identify different classes of radar signals and determine their source and location.
在这些时代为快速准确地识别雷达屏幕上的一只流浪的电子信号可以使具有不可估量的后果。
In these times correctly and quickly identifying a stray electronic blip on a radar screen can have incalculable consequences.
信号识别是侦察系统信号处理的目的，是整个雷达对抗信号处理中关键性的一个环节。
The purpose of reconnaissance system's information processing is signal recognition, which is also a key step in whole process of radar reconnaissance information processing.
系统能发现、截取、分析、识别并且记录敌人雷达信号发射，去获得它的操作模式和技术参数。
The system can detect, intercept, analyse, identify and record the signal emissions of enemy radar to acquire its operation modes and technical parameters.
论文中完成的瞬态信号采集系统为开展毫米波雷达目标识别的研究工作提供了便利。
The transient signal collecting system which is constructed in the paper supplies convenience for the research of the target recognition of millimeter radar.
脉冲重复间隔(PRI)分选算法是当前雷达对抗系统分选、识别截获信号的关键技术之一。
Sorting algorithm based on PRI is one of the key technologies to sort and recognize the intercept signal from the current radar countermeasure systems.
信号脉内特征提取技术是雷达对抗系统分选、识别截获信号的关键技术。
Extracting of radar in-pulse characteristics is an important technology to sort and recognize intercept signal from the radar countermeasure systems.
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.
无监督学习是解决未知雷达辐射源信号识别的有效方法。
Unsupervised learning is a good method to solve the problem of recognition of unknown radar emitter signal.
该方法理论简单、实现容易且可以快速直观地得出识别结果，仿真实验结果表明新方法用于雷达信号参数类型判断具有实用性和有效性。
Its recognition results can be gained fast and intuitively. The simulation experiment results show that this new method is of practicability and validity in radar signal parameter type judgment.
雷达情报侦察信号分析和识别是雷达对抗领域里的一个重要课题，对其展开研究，具有重要的理论意义和实用价值。
Signal sorting and identification in ELINT is an important topic in the domain of ECM, the research on which is significant in theory and practice.
一但敌人雷达信号被发现，KJ8602A通过储存的发射器识别数据（EID）分析那些被接收的信号和识别信号源，并且提醒飞行员。
Once the hostile radar signal is detected, the KJ8602A analyses those received signals and identify the signal sources according to the stored emitter identification data (EID), and alerts the pilot.
线性调频连续波生命探测雷达生命信号的采集、处理和识别技术是本文研究的重点。
The collection, processing and identifying of the life signal are the emphases of the research.
为了能稳定地跟踪上特定的雷达信号，必须在导引头中有分选和识别处理器。
In order to track the desired signal in stable, the sorting and identification processor should be built in the seeker.
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.
最后再对融合后的信号特征按最大相关准则，从雷达辐射源知识库中找出要协同识别的雷达型号。
Finally, compared to the radar type of radar recognition database according to the maximum correlation criterion, and then elicited the right radar type that waiting for recognizes.
雷达信号的识别是电子对抗的一个重要方面，是保证雷达对抗侦察和干扰设备有效发挥其作战效能的重要前提。
Radar signal recognition is an important aspect of electronic countermeasures. It is the premise of ensuring the radar recon and jam equipment work effectively.
在电子对抗领域中，雷达信号的频率信息是信号分选、威胁识别、引导干扰的重要参数。
In the domain of ECM, the frequency information of radar signal is important parameter for signal choosing, menace recognizing and guidance ECM.
针对雷达对抗信号处理研究工作中的关键问题，本文研究了基于循环平稳分析的雷达辐射源特征提取与融合识别。
Aiming at the key issue of electronic warfare, feature extraction and fusion recognition of radar emitters based on cyclostationary analysis are proposed in this dissertation.
借助于雷达信号的时频分布图像，提出了一种在时频联合域上进行信号识别的新算法。
The authors propose a new method with combination of time domain and frequency domain by using the time-frequency distribution image of the radar signal.
雷达信号的识别需要依据信号的特征，而不同的特征在识别中给出不同的信息量。
Radar's signal recognized based on the characteristics of signal, but different characteristics give different information.
对雷达辐射源进行准确识别是当前研究的重点课题之一，主要包括对雷达辐射源个体信号、雷达辐射源型号的识别。
It is important to recognize radar emitters at present. The recognition consists of radar individual signal recognition and radar model recognition.
不论是调试自己的雷达、EW或ELINT系统，还是进行雷达信号的侦察和识别，RTSA都提供了无可比拟的高效性能。
Either debugging own radar, EW and ELINT system or discovering and identifying radar signal, RTSA can both provide infinitely high efficient performance.
根据输入输出脉冲宽度的变化，可识别出线性调频脉冲压缩雷达信号，并测出其参数如脉冲宽度和调频斜率。
According to the change of widthes of the input and output pulses, the chirp signals can be identified and their parameters such as the pulse width and FM slope can be determined.
单脉冲雷达接收机用于对特定目标跟踪。信号分选识别用于在复杂的多信号环境中选择特定的目标，引导导引头对目标的跟踪。
The monopulse radar receiver is used to track the desired target and the processor to separate and directs the seeker to the target in multiple signal environment.
介绍了通过数字中频技术提取雷达信号脉内特征，并根据脉内特征参数对雷达信号调制形式进行识别。
The in-pulse features of radar signals are extracted by the digital IF technology, and the modulation forms of radar signals are identified according to the in-pulse feature parameters.
通过优化支持向量机算法，将它嵌入到激光成像雷达系统的数字信号处理器(DSP)芯片内，实现目标识别的功能，有很高的现实意义。
Through optimizing the algorithm of SVM, it is embedded into digital signal processing (DSP) of laser imaging radar, achieving the function of target recognition, which has high pract.
雷达辐射源信号识别是衡量雷达对抗设备技术先进程度的重要标志，是现代电子对抗领域急需解决的难题。
Recognition of radar emitter signals is an important symbol to measure the technical level of radar countermeasure in modern electronic countermeasure, besides, it is an urgent problem to solve.
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