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卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。,Kalman filter is an " optimal recursive data processing
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雷达机动目标跟踪滤波算法的研究 希望对大家有用-Radar Maneuvering Target Tracking Filter Algorithm everyone wishes to be useful
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Tracking targets with radar is an important step in ensuring safety in such endeavors as air travel or military operations. To account for inherent inaccuracies in raw radar measurements of position, and to obtain accurate velocity data, we implement
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自己编写的一个循环增益卡尔曼滤波程序包，用于对机动目标进行检测和跟踪的滤波算法，给出目标数学模型和噪声模型，仿真后给出平均观测误差。程序里相应位置有标有注释。供做雷达机动目标检测和跟踪方面研究的人员参考。-I have written a loop-gain Kalman filter package, used for maneuvering target detection and tracking of the filter algorithm, given objective mathe
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目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据,
对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。
下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。
里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。-Application of target tracking radar data processing backgroun
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目标跟踪系统的仿真模拟程序，用C语言实现了常用目标跟踪算法kalman滤波，并使用OpenGL模拟了多种机动目标运动模型，完成了雷达跟踪仿真的图形化显示-Target tracking system simulation program, using C language to achieve a common target tracking kalman filter, and uses OpenGL to simulate a variety of maneuvering target mo
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kalman for radar tracking
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这是用扩展kalman进行雷达跟踪的程序，从仿真结果看，该跟踪效果良好-Extended kalman radar tracking program, from the simulation results, the good results of the tracking
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结合雷达跟踪的空中目标的实际情况，针对目标运动模型中的线性运动和非线性运动，分别设计了两种模型，并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state
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下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。-Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the start
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本程序介绍了卡尔曼滤波器在雷达跟踪问题上的应用。通过对雷达测得的距离及方位角参数的估计和预测，较好地实现了雷达对目标的跟踪，说明卡尔曼滤波器在自主或协助导航领域中具有重要的现实意义。-This procedure describes the radar tracking Kalman filter in question on the application. Measured by radar distance and azimuth parameter estimation and fore
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The extended Kalman filter (EKF) has been widely
used as a nonlinear filtering method for radar tracking
problems. However, it has been found that in
case cross-range measurement errors of the target position
are large, the performance of the
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A new approach to improved filter design is presented for
the radar tracking problem. An idealized version of the
extended Kalman filter, which is unrealizable in practice,
is constructed using a universal linearization concept, and
then it i
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卡尔曼滤波 雷达对多维目标进行跟踪 并对装填方程进行预测 是入门的良好代码-Kalman filtering of radar target tracking and multi-dimensional equations to predict filling is good code entry
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利用卡尔曼滤波方法对雷达二维目标进行跟踪，使用的是非线性模型，参考价值很高，跟踪效果较好，参数已经全部设置好，下载后可以直接运行。-Tracking of 2D Radar target using Calman filtering method, is using the nonlinear model, the reference value is very high, a better tracking effect, the parameters have been set up wel
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tracking a radar using kalman filter
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利用卡尔曼滤波的方法，实现雷达对目标的跟踪-Using the kalman filtering method, to realize the radar target tracking
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本文对卡尔曼滤波的原理进行了研究，然后将其应用到雷达跟踪预测领域。-In this paper, the principle of Kalman filter is studied, and then applied to radar tracking and prediction.
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kalman 滤波算法，目标跟踪的自适应算法，用于雷达目标追踪。(Kalman filtering program, and the adaptive algorithm of target tracking is used for radar target tracking.)
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Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detectio
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