登录
首页 » matlab » Kalman-filtering

Kalman-filtering

于 2021-01-06 发布 文件大小:1133KB
0 309
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

  • Distributed-signal-processing
    分布式lms算法,传感器网络,仿真通过,可以运行(Lms distributed algorithms, distributed lms algorithm, distributed lms algorithm, distributed lms algorithm)
    2015-09-04 16:53:17下载
    积分:1
  • plot_FBG_L
    相移光纤光栅长度变化仿真,matlab,(matlab simulink FBG.)
    2012-04-26 10:08:00下载
    积分:1
  • NC-MUSIC
    基于NC-MUSIC算法的均匀圆阵DOA估计及性能分析(DOA estimation of UCV based on NC-MUSIC algorithm and performance ananlysis)
    2012-06-12 11:45:39下载
    积分:1
  • zn
    说明:  用z-n法对一个控制过程进行PID参数整定,在simulink平台上进行仿真。(simulation with simulink)
    2013-05-17 17:32:14下载
    积分:1
  • Matlab
    Matlab英文学习资料,里面有详细的Matlab功能和使用方法的介绍。(Learning Matlab)
    2011-04-25 14:17:30下载
    积分:1
  • ImmuneAlgorithmsCode
    人工免疫算法基于遗传MATLAB代码很有用哦(Artificial immune algorithm based on genetic code useful MATLAB Oh)
    2009-05-17 19:49:50下载
    积分:1
  • 5-9--14
    we address the design of economical recursive generalized comb filters (GCFs) by proposing an ef- ficient technique to quantize the multipliers in the z-transfer function employing power-of-2 (PO2) terms. GCFs are efficient anti-aliasing decimation filters with improved selectivity and quantization noise rejection performance around the so-called folding bands with respect to classical comb filters. The proposed quantization technique guarantees perfect pole–zero cancelation in the rational z-transfer function of the GCFs, thus totally avoiding instability problems. Moreover, we propose the use of a simple droop compensator for the sake of recovering the passband droop distorting the useful digital signal in the baseband. A design example is proposed with the aim of showing the application of the proposed technique, and a practical architecture of a sample third-order GCF is discussed.
    2014-09-05 14:49:45下载
    积分:1
  • genetic-algorithm
    遗传算法从代表问题可能潜在的解集的一个种群开始的,而一个种群则由经过基因编码的一定数目的个体组成。本代码以旅行商问题为例,详细介绍遗传算法的使用方法。(A genetic algorithm the representation of the solution set of potentially the beginning, but after a certain number of the population the gene encoding the individual components. The code to the traveling salesman problem, for example, describes the use of genetic algorithms.)
    2015-01-08 14:54:32下载
    积分:1
  • cppm_ieee
    Digital Communication Using Chaotic-Pulse-Position Modulation
    2013-12-07 04:25:00下载
    积分:1
  • SVG
    SVG无功发生器的matlab仿真,采用PI解耦控制。基于matlab 2014a编写。(SVG simulation of MATLAB reactive power generator, using PI decoupling control. Based on 2014a matlab.)
    2015-07-06 22:46:07下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载