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脉冲压缩技术是指对雷达发射的宽脉冲信号进行调制(如线性调频、非线性调频、相位编码),并在接收端对回波宽脉冲信号进行脉冲压缩处理后得到窄脉冲的实现过程。脉冲压缩有效地解决了雷达作用距离与距离分辨率之间的矛盾,可以在保证雷达在一定作用距离下提高距离分辨率。
-pulse compression technology refers to the launch of the radar pulse width modulation (LFM. Nonlinear FM, phase coding)
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线性调频脉冲压缩雷达仿真(含匹配滤波、结果、图示)-Linear FM pulse compression radar simulation (including the matched filter, as a result, icons)
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一些关于线性调频脉冲压缩雷达的资料。一共是7篇文章-Number of linear FM pulse compression radar data. A total of 7 articles
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本文结合L FM 信号脉冲压缩及旁瓣抑制,利用
GUIDE 制作线性调频信号脉冲压缩模块的图形用户界面,使利用此界面可以通过对雷达脉压模块输入参数的修改,对仿真结果给出图形显示和结果分析,界面友好,具有开放性,方便实用和完善及扩充其功能。-This article unifies L the FM signal pulse compression and side-lobe cancellation, uses the GUIDE manufacture linear frequency m
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RMMSE雷达脉冲压缩快速算法中矩阵求逆的FPGA实现-RMMSE radar pulse compression fast algorithm for FPGA implementation matrix inversion
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课程设计二脉冲压缩雷达的产生与处理,好资料-Curriculum Design II pulse compression radar production and handling
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脉冲压缩及干扰的影响,这个结合了雷达体制,具有较强的实用性-Pulse compression and interference, the combination of radar system, with a strong practical
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利用MATLAB进行雷达数据处理,并对程序进行解释,包括脉冲压缩,相干积累,MTI,CFAR等-Using MATLAB radar data processing and interpretation program, including pulse compression, coherent accumulation, MTI CFAR
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Radar Pulse Compression for Point Target and
Distributed Target Using Neural Network
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脉冲雷达对目标成像的仿真,包括距离的测量和方位压缩的代码-Pulse radar target imaging simulation, including measuring the distance and azimuth compression code
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关于脉冲压缩雷达方面的章节部分,还包括了线性调频信号产生以及匹配滤波方面的matlab仿真-About the section called pulse compression radar aspects include the chirp signal generation and matched filtering of matlab simulation
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基于 FPGA 的雷达脉冲压缩系统的研究与实现,本文从线性调频信号的时、频域特征出发,根据脉冲压缩体制的理论,分析了脉冲压缩信号处理算法的实现方法-The study of the radar pulse compression system based on FPGA and implementation, based on the linear frequency modulation signal time and frequency domain characteristics, acc
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线性调频脉冲压缩雷达仿真,实现点目标成像(Linear frequency modulation pulse compression radar simulation to achieve point target imaging)
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线性调频信号脉冲压缩的原理及matlab仿真的详细步骤,进一步理解雷达成像的基础知识(The principle of pulse compression of LFM signal and the detailed steps of MATLAB simulation further understand the basic knowledge of radar imaging)
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