登录
首页 » matlab » exp4

exp4

于 2021-03-25 发布
0 119
下载积分: 1 下载次数: 32

代码说明:

说明:  把激光陀螺捷联惯导系统和GNSS接收机固联于实验车实验仓中,接收机天线固联在实验车实验仓上方,车载计算机实时接收和采集惯导系统、卫星导航接收机的原始数据,在郊外开阔公路进行车载实验。 通过matlab编程实现卫星导航伪距单点定位、INS/GPS松组合导航的全过程。 1)卫星导航单点定位测速:利用采集得到的接收机时间、伪距、多普勒频移数据,要求进行单点定位、测速解算,输出接收机的位置、速度随时间的变化曲线,并给出位置、速度误差曲线; 2)松组合导航:结合惯导解算和卫星接收机单点定位测速,要求采用Kalman滤波器实现惯导/卫星位置、速度组合导航解算,滤波器维数至少包括惯导的位置、速度、姿态角9维。将组合导航后的姿态角与纯惯导的姿态角进行对比分析,给出位置、速度误差曲线。(The laser gyro strapdown inertial navigation system and GNSS receiver are fixed in the experimental compartment of the experimental vehicle. The antenna of the receiver is fixed above the experimental compartment of the experimental vehicle. The on-board computer receives and collects the original data of the inertial navigation system and satellite navigation receiver in real time, and carries out on-board experiments on the suburban open highway.)

文件列表:

exp4, 0 , 2018-07-28
exp4\九状态卡尔曼滤波, 0 , 2018-07-28
exp4\九状态卡尔曼滤波\check_t.m, 292 , 2018-06-20
exp4\九状态卡尔曼滤波\coarse_align.m, 751 , 2018-06-09
exp4\九状态卡尔曼滤波\data_gps.mat, 33964 , 2018-06-27
exp4\九状态卡尔曼滤波\dcm2eul.m, 274 , 2018-06-09
exp4\九状态卡尔曼滤波\dcm2qua.m, 241 , 2018-06-09
exp4\九状态卡尔曼滤波\eph_temp.dat, 4826 , 2018-07-28
exp4\九状态卡尔曼滤波\eul2dcm.m, 489 , 2018-06-09
exp4\九状态卡尔曼滤波\eul2qua.m, 439 , 2018-06-09
exp4\九状态卡尔曼滤波\eulr2qua.M, 1475 , 2006-05-25
exp4\九状态卡尔曼滤波\e_r_corr.m, 469 , 1996-11-26
exp4\九状态卡尔曼滤波\gnss.m, 2820 , 2018-07-09
exp4\九状态卡尔曼滤波\initpara.m, 766 , 2018-07-03
exp4\九状态卡尔曼滤波\ins_navi.m, 1367 , 2018-06-12
exp4\九状态卡尔曼滤波\KF_correct.m, 1533 , 2018-06-27
exp4\九状态卡尔曼滤波\KF_correct_gps.m, 1557 , 2018-07-03
exp4\九状态卡尔曼滤波\KF_correct_gps_9.m, 2669 , 2018-07-03
exp4\九状态卡尔曼滤波\main_ins_gps.m, 2545 , 2018-07-28
exp4\九状态卡尔曼滤波\pre_data.m, 528 , 2018-06-27
exp4\九状态卡尔曼滤波\qua2dcm.m, 310 , 2018-06-09
exp4\九状态卡尔曼滤波\qua_multiply.m, 225 , 2018-06-09
exp4\九状态卡尔曼滤波\readme.txt, 1532 , 2018-06-21
exp4\九状态卡尔曼滤波\rover3.dat, 320490 , 2008-12-03
exp4\九状态卡尔曼滤波\rover_eph3.dat, 5052 , 2006-06-10
exp4\九状态卡尔曼滤波\rover_ref.txt, 221938 , 2008-12-03
exp4\九状态卡尔曼滤波\samp_eph.m, 2974 , 2018-06-29
exp4\九状态卡尔曼滤波\SatPosVelCalculation.m, 4366 , 2018-06-29
exp4\九状态卡尔曼滤波\togeod.m, 2217 , 2005-03-23
exp4\九状态卡尔曼滤波\topocent.m, 1048 , 2005-03-23
exp4\九状态卡尔曼滤波\tropo.m, 2345 , 1997-09-26
exp4\九状态卡尔曼滤波\同步时刻.txt, 35 , 2006-04-08
exp4\五状态卡尔曼滤波, 0 , 2018-07-28
exp4\五状态卡尔曼滤波\calGPS.m, 3248 , 2018-06-29
exp4\五状态卡尔曼滤波\check_t.m, 292 , 2018-06-20
exp4\五状态卡尔曼滤波\coarse_align.m, 751 , 2018-06-09
exp4\五状态卡尔曼滤波\data_gps.mat, 33964 , 2018-06-27
exp4\五状态卡尔曼滤波\dcm2eul.m, 274 , 2018-06-09
exp4\五状态卡尔曼滤波\dcm2qua.m, 241 , 2018-06-09
exp4\五状态卡尔曼滤波\eph_temp.dat, 4826 , 2018-07-28
exp4\五状态卡尔曼滤波\eul2dcm.m, 489 , 2018-06-09
exp4\五状态卡尔曼滤波\eul2qua.m, 439 , 2018-06-09
exp4\五状态卡尔曼滤波\eulr2qua.M, 1475 , 2006-05-25
exp4\五状态卡尔曼滤波\e_r_corr.m, 469 , 1996-11-26
exp4\五状态卡尔曼滤波\gnss.m, 2820 , 2018-07-09
exp4\五状态卡尔曼滤波\initpara.m, 901 , 2018-06-19
exp4\五状态卡尔曼滤波\ins_navi.m, 1367 , 2018-06-12
exp4\五状态卡尔曼滤波\KF_correct.m, 1533 , 2018-06-27
exp4\五状态卡尔曼滤波\KF_correct_gps.m, 1553 , 2018-06-29
exp4\五状态卡尔曼滤波\main_ins_gps.m, 3986 , 2018-07-28
exp4\五状态卡尔曼滤波\pre_data.m, 528 , 2018-06-27
exp4\五状态卡尔曼滤波\qua2dcm.m, 310 , 2018-06-09
exp4\五状态卡尔曼滤波\qua_multiply.m, 225 , 2018-06-09
exp4\五状态卡尔曼滤波\readme.txt, 1532 , 2018-06-21
exp4\五状态卡尔曼滤波\rover3.dat, 320490 , 2008-12-03
exp4\五状态卡尔曼滤波\rover_eph3.dat, 5052 , 2006-06-10
exp4\五状态卡尔曼滤波\rover_ref.txt, 221938 , 2008-12-03
exp4\五状态卡尔曼滤波\samp_eph.m, 2974 , 2018-06-29
exp4\五状态卡尔曼滤波\SatPosVelCalculation.m, 4366 , 2018-06-29
exp4\五状态卡尔曼滤波\togeod.m, 2217 , 2005-03-23
exp4\五状态卡尔曼滤波\topocent.m, 1048 , 2005-03-23
exp4\五状态卡尔曼滤波\tropo.m, 2345 , 1997-09-26
exp4\五状态卡尔曼滤波\同步时刻.txt, 35 , 2006-04-08

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

  • pcm
    PCM simulink matlab example
    2010-02-17 18:46:03下载
    积分:1
  • ForcedPendulum
    This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega + omega/Q + sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) (This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega+ omega/Q+ sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) )
    2010-02-17 07:28:51下载
    积分:1
  • Networking-Essentials
    MCSE Training Guide: Networking Essentials, Second Edition is designed for advanced end-users, service technicians, and network administrators with the goal of certification as a Microsoft Certified Systems Engineer (MCSE). The “Networking Essentials” exam (70-058) measures your ability to implement, administer, and troubleshoot information systems that incorporate Windows 95 as well as any of the BackOffice family of products. According to Microsoft, the exam covers only the networking knowledge and skills common to both Windows 95 and BackOffice products.
    2014-02-18 16:49:25下载
    积分:1
  • wavelet
    应用matlab进行图片去噪,简单的matlab程序。(The engineering image denoising is realized with matlab software system.)
    2012-05-15 19:10:20下载
    积分:1
  • Untitled
    软阈值去噪程序。噪声为高斯白噪声,采用软阈值去噪算法可保证信号的能量。(noise)
    2009-09-30 23:12:56下载
    积分:1
  • main
    免疫优化智能算法,以及它在物流配送中选址应用,注释详细运行顺畅(Immune Optimization intelligent algorithm and its application in logistics and distribution sites, detailed notes running smoothly)
    2013-11-03 15:46:10下载
    积分:1
  • ocr-code
    可以针对不规则图形中包含的字符串、数字进行自动二值化处理,降噪处理,匹配识别。(Can be included for a string of irregular shapes, numbers, auto binarization, noise reduction, matching identification.)
    2011-06-11 18:16:37下载
    积分:1
  • 图像RGB颜色矩提取matlab序 GetColorMoment
    图像RGB颜色矩提取matlab程序,有注释,有需要的拿去(Image RGB color moments extraction procedures, there is a comment)
    2014-08-15 13:10:45下载
    积分:1
  • inttst_estimator
    快速、精确频率估计算法,噪声情况下语音信号频率估计(Fast, accurate frequency estimation algorithm, the case of speech noise frequency estimation)
    2011-09-14 21:56:16下载
    积分:1
  • discrete-signal
    基于matlab的数字信号的实现,包括单位阶跃,单位脉冲,正弦和指数序列(Based on the realization of matlab digital signal, including unit step, unit impulse, sinusoidal and index sequence)
    2013-04-04 13:10:44下载
    积分:1
  • 696524资源总数
  • 103920会员总数
  • 65今日下载