登录
首页 » matlab » Kalman-filtering

Kalman-filtering

于 2021-01-06 发布 文件大小:1133KB
0 316
下载积分: 1 下载次数: 185

代码说明:

  卡尔曼滤波的例子,都是关于雷达方向的,本人都亲自调试过,都能够运行(Calman filter example, is all about the direction of radar, I personally debugging, can run)

文件列表:

卡尔曼滤波
..........\卡尔曼滤波--运动轨迹估计(调试成功)
..........\....................................\1.fig,8440,2015-04-08
..........\....................................\1.tif,21925,2015-04-08
..........\....................................\2.fig,15595,2015-04-08
..........\....................................\2.tif,37957,2015-04-08
..........\....................................\kalmanyingyong.m,1848,2008-04-06
..........\....................................\运动轨迹估计.txt,1846,2015-04-08
..........\卡尔曼滤波器在雷达上的应用,用于估计飞机的速度(调试成功)
..........\..........................................................\aero_radplot.m,2125,2008-08-28
..........\..........................................................\data.mat,49525,2008-08-28
..........\..........................................................\kalmanfilter1.m,1496,2008-09-28
..........\..........................................................\untitled.tif,110751,2015-04-08
..........\..........................................................\说明.txt,168,2009-07-09
..........\卡尔曼滤波器的介绍.pdf,552794,2010-03-03
..........\卡尔曼滤波在目标跟踪中应用仿真研究(调试成功)
..........\..............................................\hmodeinitial.m,761,2005-05-04
..........\..............................................\kaermanlb.m,5002,2010-04-21
..........\..............................................\lmodeinitial.m,277,2005-05-04
..........\..............................................\仿真作业要求.pdf,43753,2005-03-30
..........\..............................................\卡尔曼滤波.asv,5002,2010-04-21
..........\卡尔曼滤波(调试成功)
..........\......................\1.tif,27293,2015-04-08
..........\......................\2.tif,29601,2015-04-08
..........\......................\kalman.ppt,304128,2009-11-18
..........\......................\whl.m,1466,2015-04-08
..........\......................\程序.txt,1466,2015-04-08
..........\对平面内的目标进行跟踪,滤波(调试成功)
..........\........................................\vd
..........\........................................\..\1.tif,40791,2015-04-08
..........\........................................\..\2.tif,23279,2015-04-08
..........\........................................\..\3.tif,26689,2015-04-08
..........\........................................\..\4.tif,19679,2015-04-08
..........\........................................\..\kalmandynamic.m,2512,2007-07-02
..........\........................................\..\kalmanstatic.m,827,2007-07-02
..........\........................................\..\main.m,4577,2007-07-02
..........\........................................\卡尔曼滤波在目标跟踪中的应用.doc,179200,2007-07-02
..........\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-循环增益卡尔曼滤波-调试成功
..........\..........................................................................................\1.tif,26251,2015-04-08
..........\..........................................................................................\2.tif,25349,2015-04-08
..........\..........................................................................................\3.tif,23963,2015-04-08
..........\..........................................................................................\4.tif,26651,2015-04-08
..........\..........................................................................................\5.tif,40887,2015-04-08
..........\..........................................................................................\6.tif,43255,2015-04-08
..........\..........................................................................................\7.tif,25563,2015-04-08
..........\..........................................................................................\8.tif,33971,2015-04-08
..........\..........................................................................................\9.tif,34941,2015-04-08
..........\..........................................................................................\constant_gain_filter.m,658,2008-04-16
..........\..........................................................................................\data_kalman_filter.m,2287,2008-04-28
..........\..........................................................................................\err_count.m,594,2007-09-27
..........\..........................................................................................\filt_count.m,427,2007-09-18
..........\..........................................................................................\get_d.m,147,2008-03-02
..........\..........................................................................................\kalman_filter.m,681,2008-03-25
..........\..........................................................................................\kalman_simulation.m,2390,2008-04-28
..........\..........................................................................................\ME_err_count.m,557,2007-12-07
..........\..........................................................................................\new_data_get.m,1193,2008-05-15
..........\..........................................................................................\new_err_count.m,1108,2007-09-27
..........\..........................................................................................\noise.m,415,2008-01-09
..........\..........................................................................................\no_noise.m,396,2008-01-09
..........\..........................................................................................\power_noise.m,566,2008-01-09
..........\..........................................................................................\RMSE_err_count.m,1277,2007-12-07
..........\..........................................................................................\show.m,1982,2008-04-28
..........\..........................................................................................\temp_err_save.m,349,2007-09-21
..........\..........................................................................................\Untitled.m,2391,2008-10-14
..........\..........................................................................................\zuobiao_transform.m,147,2007-09-27
..........\某无人直升机高度测量系统融合方法
..........\................................\concentered_kf.m,2337,2010-01-08
..........\................................\某无人直升机高度测量系统融合方法.doc,272384,2010-01-08
..........\雷达航迹预测(调试成功)
..........\........................\1.tif,22169,2015-04-08
..........\........................\2.tif,31979,2015-04-08
..........\........................\3.tif,31981,2015-04-08
..........\........................\datatreat.m,9493,2010-06-30
..........\........................\draw_track.m,3664,2010-06-29
..........\........................\EightTrack.m,1397,2009-12-24
..........\........................\EllipseTrack.m,2365,2009-12-24
..........\........................\kalman_filter_initial.m,1936,2010-05-13
..........\........................\main_test.m,9299,2010-06-30
..........\........................\point_supplement.m,2785,2010-06-30
..........\........................\point_track_association.m,6206,2010-06-30
..........\........................\point_track_association_change.m,8777,2010-06-29
..........\........................\qq.mat,1390,2010-05-20
..........\........................\read_me.txt,83,2010-06-30
..........\........................\track_die_out.m,2852,2010-06-30
..........\........................\track_start.m,8251,2010-06-30
..........\........................\函数说明.doc,176640,2010-06-29
..........\(最重要!)是一个目标匀速的一个模型,第一种方法是雷达只有测速功能。用的是标准卡尔曼滤波,第二种是目标带有测速(径向速度)功能,用的是非线性卡尔曼滤波
..........\......................................................................................................................................................\1.tif,57379,2015-04-08
..........\......................................................................................................................................................\10.tif,22897,2015-04-08
..........\......................................................................................................................................................\11.tif,22775,2015-04-08
..........\......................................................................................................................................................\2.tif,23591,2015-04-08
..........\......................................................................................................................................................\3.tif,24901,2015-04-08
..........\......................................................................................................................................................\4.tif,65073,2015-04-08
..........\......................................................................................................................................................\5.tif,35645,2015-04-08
..........\......................................................................................................................................................\6.tif,24675,2015-04-08
..........\......................................................................................................................................................\7.tif,24137,2015-04-08
..........\......................................................................................................................................................\8.tif,29613,2015-04-08
..........\......................................................................................................................................................\9.tif,22801,2015-04-08
..........\......................................................................................................................................................\Untitled.m,7809,2015-04-08
..........\......................................................................................................................................................\第一种方法是目标方位,俯仰角.doc,64000,2006-11-17

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • montecalo
    蒙特卡罗仿真matlab源码,有点意思,可以学习。(Monte-Carlo simulation matlab source, a bit mean, you can learn.)
    2008-12-24 10:37:01下载
    积分:1
  • IGA-MECHANICAL-ANALYSIS
    这是进行IGA分析的 Matlab代码.可用于进行1维,2维和三维的线弹性问题分析,并可以进行裂纹的扩展,夹杂等的计算。同时,包括Eular梁和Kirchhoff板在内的结构力学问题也可行。 (This is the the Isogeometric Analysis (IGA) Matlab code. The code supports one, two and three dimensional linear elasticity problems. Extended IGA for hole, inclusion and crack modelling is also implemented. Structural mechanics problems including Euler beam and Kirchhoff plates (rotation-free formulations) are implemented as well.)
    2020-10-04 15:27:39下载
    积分:1
  • matlab
    排队论,对策论的一些源码,可以运用此源码解决一些问题哦!(Queuing theory, game theory and some of the source, this source can be used to solve some problems Oh!)
    2011-04-22 19:31:59下载
    积分:1
  • My_Lag_Function
    拉格朗日插值算法的matlab程序,可用于数值分析(Lagrange interpolation )
    2012-01-14 11:01:21下载
    积分:1
  • windowed_Fourier_transform
    加窗傅立叶变换及其逆变换的重构,并有详细的注释和例子(Windowed Fourier transform and its inverse transform of the reconstruction, and detailed notes and examples)
    2011-09-06 22:57:53下载
    积分:1
  • untitled2
    simulink 逆变器并网孤岛检测模型(simulink Inverter parallel island detection model)
    2017-04-07 10:16:54下载
    积分:1
  • guiji
    用于识别目标轨迹的算法,没有解压密码,可以直接使用(trajectory for target identification algorithm, without extracting passwords can be used directly)
    2006-06-22 09:56:44下载
    积分:1
  • daitongcaiyang
    中频数字正交采样,并进行滤波,得出基带信号(IF quadrature sampling and filtering)
    2011-05-14 11:35:35下载
    积分:1
  • CDMA_HD
    technique d accès multiple CDMA (Code Division Multiple Access)avec une HD (Hard Decision)
    2010-12-02 09:37:55下载
    积分:1
  • zishiyingTVquzao
    自适应TV去噪,是一种自适应滤波算法,处理噪声效果良好,适合编程参考(TV adaptive de-noising, is an adaptive filter algorithm processing noise effect is good for programming reference)
    2015-05-05 09:18:15下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载