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radar detection
- radar detection
radar-detection
- 雷达检测处理仿真程序,包括噪声背景下的检测,波动目标的检测,检测概率与虚警概率的计算-the simulation code for radar detection,including detection in the presence of noise,detection of fluctuating target, probability of false alarm and probability of detection
matlab-ako-nato
- matlab detection with uwb radar
radaranti
- 本书介绍雷达对抗原理,包括雷达对抗概述、雷达信号频率的测量、雷达的方向测量和定位、雷达侦察的信号处理、雷达侦察作用距离与截获概率、遮盖性干扰、欺骗性干扰、干扰机组成及干扰能量的计算以及对雷达的无源对抗技术-The book introduced the principle of radar confrontation, including an overview of radar confrontation, radar signal frequency measurement, the dir
FPGA
- 将立体杂波图应用于气象杂波的CFAR处理,根据当前杂波环境的变化实时地产生杂内杂外标志,从而选择不同的信号处理支路处理当前气象杂波,提高了雷达的检测性能,降低了虚警概率。-Will be applied to three-dimensional meteorological clutter Clutter Map CFAR of treatment, according to the current clutter environment generated in real time with
radar_moving_target_detection
- 这是雷达动目标检测的matlab实现方法,使用了FFT和FIR两种方法-This is a moving target radar detection matlab implementation methods, the use of FFT and FIR in two ways
calcCFARthreshold
- Compute Classical detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability. -Compute Classical detection threshold for radar detection under additive Gaussian white noise criterion
calcMofNCFARthreshold
- Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability. -Compute Classical CFAR binary detection threshold for radar detection under additive Gaussi
ACFARalgorithmforradardetectionundersevereinterfer
- 雷达在严重干扰下的一种恒虚警检测算法--A CFAR algorithm for radar detection under severe interference-Under the radar as a serious interference CFAR detection algorithm- A CFAR algorithm for radar detection under severe interference
MIMO pd
- MIMO雷达是最近几年兴起的一种新体制雷达,能够有效地克服目标RCS闪烁,本程序模拟仿真了MIMO雷达在高斯噪声背景中的检测性能以及恒虚警检测的性能。-MIMO radar is the rise in recent years, a new system of radar, which can effectively overcome the target RCS flashes, the process simulation of the MIMO radar detection Gauss
matlab_file1
- 分布式星载干涉GMTI雷达系统仿真 performance analysis of a space-based GMTI radar system using separated spacecraft interferometry-Distributed Spaceborne Interferometric GMTI radar system simulation performance analysis of a space-based GMTI radar system using se
LPIT_TOOLBOX
- LPI和LPID的主要目的是能够在比截获接收机对雷达进行探测与干扰的距离更远的距离上来探测目标,本工具箱是在MATLAB下的LPI工具箱-LPI and LPID' s main purpose is to intercept receiver than the radar detection and jamming on the distance farther up exploration goals, the toolkit is under the LPI in the MATLA
huachuangjiance
- matlab下实现对高斯噪声下的小目标的滑窗检测。数据为1000个点,滑窗窗口大小为30,每次滑动一个点的数据。采用的是窗内30个数据先各自平方,然后求和,再除以窗口大小。实验表明能有效检测雷达目标信号。-matlab under Gaussian noise to achieve a small target detection sliding window. Data for 1000 point sliding window window size is 30, each time mov
cfar
- Radar constant false alarm rate(CFAR)detection is addressed in this correspondence.Motivated by the frequently encountered problem of clutter-edge heterogeneity,we modelthe secondary data as aprobability mixture and impose a hierarchical modelfor t
MATLABSimulationsforRadarSystemsdesign
- 国外经典的雷达系统设计书籍:MATLAB Simulations for Radar Systems design.pdf 内有大量MATlAB仿真代码,对雷达信号检测与估计研究方向的人员很有帮助-The classic design of radar systems of foreign books: MATLAB Simulations for Radar Systems design.pdf there are a lot of MATlAB simulation code, the
Radar Simulation
- 雷达系统仿真,采用相位编码脉内线性调频混合调制信号。该雷达具有数字化正交解调、脉冲压缩处理、固定目标对消、动目标检测(MTD)、和恒虚警(CFAR)处理等功能-Radar simulation system,using the LFM and barker code mixed modulated signal。Main function include:digital orthogonal demodulationfixed, Pulse compression,target cancella
mimo
- this code used for mimo radar code detection.-this code used for mimo radar code detection.
MIMO-radar-detectors
- 关于mimo 雷达的论文,检测波达方向的雷达信号检测,很有参考意思-Mimo papers on radar detection radar signal detection DOA, meaning a good reference
radar-detection-matlab_RF
- 雷达检测的matlab计算 如起伏目标的检测等-radar detection matlab_RF
laser--radar--detection
- 激光雷达探测的文章,值得关注,很好的文章。-goode document of laser radar detection.