Description: 本程序为malab的卡尔曼滤波器，用于雷达信号处理中航迹形-malab the procedures for the Kalman filter, for radar signal processing-Track Platform: |
Size: 1024 |
Author:范贤文 |
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Description: 卡尔曼滤波C程序 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 filtering C program Kalman filter is an "optimal recursive da ta processing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 1024 |
Author:于军相 |
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Description: 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 proces sing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 1024 |
Author:于军相 |
Hits:
Description: 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 proces sing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
Size: 1024 |
Author:于军相 |
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Description: 些程序是一个雷达跟踪一目标的仿真图形,可实现kalman滤波的估计轨迹与真实轨迹的误差,并分别可绘出X,Y方向的跟踪误差,对初学都来说,是一个非常好的学习例子-These procedures is one goal of a radar tracking simulation graphics, can be realized kalman filter estimated trajectory with the true trajectory error, and can be mapped, respectively, X, Y direction of the tracking error for both novice, it is a very good learning examples Platform: |
Size: 1024 |
Author:张海涛 |
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Description: 卡尔曼滤波值计算方法
一飞行物，初始时刻距离雷达站距离 =30km,初始速度 =300米/秒，加速度 =20 ,过程噪声 ，测量 ，测量噪声 ，采样周期T=0.5s,求卡尔曼滤波值 及 -Kalman filter method of calculating the value of one flying objects, the initial moment of the distance from the radar station = 30km, initial velocity = 300 m/s, acceleration = 20, the process noise, measurement, measurement noise, sampling period T = 0.5s, for Carl Cayman filter values and Platform: |
Size: 1024 |
Author:阿杜 |
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Description: 一个利用matlab做的雷达跟踪的kalman滤波的源程序-Using matlab to do a radar tracking of the kalman filter source code Platform: |
Size: 3072 |
Author:sdfs |
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Description: 用一观测器从t=1秒开始对一个运动目标的距离进行连续地跟踪测量，假设观测的间隔为一秒钟，雷达到运动目标之间的距离为S(t)（1） 统计特性的初值为
（2）观测误差是与和均不相关的白噪声序列，并且有
（3）观测数据存放在附加的文件中（单位：m）。
要求：分析上述对象，建立系统模型，构造卡尔曼滤波器，编程计算，求：
（1） 距离S(t)的最佳估计及估计误差，
（2） 距离S(t-5)的最佳平滑及估计误差，
（3） 距离S(t+5)的最佳预测及估计误差，
（4） 对结果进行分析讨论。
-By one observer from the t = 1 PST on a moving target tracking for distance measurement, assuming that the observation interval is one second, the radar that the distance between the moving target for the S (t) (1) the statistical characteristics of the initial condition (2) observational error is not associated with white noise sequence, and (3) observational data stored in the attached document (unit: m). Requirements: Analysis of the above-mentioned object, the establishment of the system model, constructed Kalman filter, programming terms, seeking: (1) distance from S (t) the best estimate and the estimation error, (2) distance from S (t-5) the most good smoothing and estimation error, (3) distance from S (t+ 5) the best prediction and estimation error, (4) the results analyzed and discussed. Platform: |
Size: 2048 |
Author:裴海波 |
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Description: 对卡尔曼滤波原理进行了仿真！ 可用于雷达脉冲受随机噪声干扰后的原始数据最优估计。-The principle of the Kalman filter simulation! Can be used for radar pulse by the random noise of the original data after the optimal estimation. Platform: |
Size: 3072 |
Author:song |
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Description: 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 algorithm (optimal autoregressive data-processing algorithm)." To address the very most of the questions, he is the best, most efficient, if not the most useful. He has been widely used for more than 30 years, including robot navigation, control, sensor data fusion and even in military radar systems and missile tracking and so on. Recent years been applied to computer image processing, such as头脸recognition, image segmentation, image edge detection and so on. Platform: |
Size: 570368 |
Author:曲晓川 |
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Description: 一个kalman滤波的仿真程序，仿真的是雷达探测飞机的飞行轨迹，里面的word文档说的比较详细了。-A kalman filter simulation procedures, simulation of the plane are radar flight path, inside the word document that has more detailed. Platform: |
Size: 117760 |
Author:肖 |
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Description: The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory. Platform: |
Size: 306176 |
Author:vignesh |
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Description: 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 implemented an algorithm called the Kalman Filter. The resulting track data was used, in conjunction with algebraic and trigonometric methods, to simulate target interception and collision prevention. Our system led an interceptor aircraft to its target and warned pilots of a potential collision, proving the effectiveness of our filter. Platform: |
Size: 320512 |
Author:Nadir |
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Description: RADPLOT Radar Data Processing Tracker plotting function, This function works with several extended Kalman filter
demos in Simulink and other demos-RADPLOT Radar Data Processing Tracker plotting function, This function works with several extended Kalman filter demos in Simulink and other demos Platform: |
Size: 51200 |
Author:li dong |
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Description: 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 mathematical model and noise model of simulation, the average observation error is given. Procedures in place are marked with the corresponding notes. Do radar for maneuvering target detection and tracking studies for reference. Platform: |
Size: 12288 |
Author:王宗鑫 |
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Description: 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 transition matrix IMM algorithm. Finally, the interacting multiple model Kalman filter algorithm Matlab simulation and results analysis. Platform: |
Size: 25600 |
Author:王延飞 |
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