登录
首页 » matlab » Kalman-filtering

Kalman-filtering

于 2021-01-06 发布 文件大小:1133KB
0 282
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

  • mada_bo_samir
    commande en boucle ouverte de la MADA
    2010-10-19 02:49:38下载
    积分:1
  • TIG-BWEIXIU
    TIG-B系列逆变式直流氩弧焊机故障排除(TIG-B Series inverter DC welding machine troubleshooting)
    2011-02-09 21:28:50下载
    积分:1
  • ypso
    说明:  粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解.(Particle swarm optimization algorithm based on the idea that groups of individuals through collaboration and information sharing to find the optimal solution.)
    2008-09-27 17:22:18下载
    积分:1
  • histequal
    直方图均衡。 不利用MATLAB自带的histeq.m函数,自己编写主函数进行直方图均衡化处理(hist equal)
    2010-05-14 14:56:50下载
    积分:1
  • plot
    在matlab里实现画图,分别可以画出五角星,长城和区域填充(In matlab realize in drawing,respectively, can draw a pentagram, the Great Wall and the area fills)
    2014-10-01 16:21:33下载
    积分:1
  • huffman
    说明:  图像的huffman编解码程序,希望能给大家提供帮助(Huffman encoding and decoding process the image, hope that they can help)
    2011-04-01 15:37:54下载
    积分:1
  • tidu_rbf
    本程序实现的是径向基神经网络的非线性函数函数逼近功能。(The program implementation is a nonlinear function of radial basis function neural network function approximation.)
    2015-01-14 23:11:13下载
    积分:1
  • matlab_-PQ--flow
    该程序利用MATLAB语言编写,实现了对电力系统的潮流计算。(The program uses the MATLAB language, the realization of the trend of computing power system.)
    2015-01-19 16:51:38下载
    积分:1
  • AIC-modelisation
    The Akaike information criterion (AIC) is a measure of the relative quality of a statistical model for a given set of data. That is, given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other models. Hence, AIC provides a means for model selection.
    2015-04-02 07:06:16下载
    积分:1
  • evaemkbb
    匹配追踪和正交匹配追踪,GPS和INS组合导航程序,有借鉴意义哦,详细画出了时域和频域的相关图,抑制载波型差分相位调制,阵列信号处理的高分辨率估计,使用matlab实现智能预测控制算法。( Matching Pursuit and orthogonal matching pursuit, GPS and INS navigation program, There are reference Oh, Correlation diagram shown in detail the time domain and frequency domain, Suppressed carrier type differential phase modulation, High-resolution array signal processing estimates, Use matlab intelligent predictive control algorithm.)
    2016-03-30 20:15:38下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载