搜索资源列表
chermen
- 卡尔曼滤波器Matlab源码,用于校正NLOS误差的有偏卡尔曼滤波器, 本程序加入了非视距检测模块，对于NLOS使用有偏卡尔曼滤波，对于LOS使用标准卡尔曼滤波-Kalman filter Matlab source code, used to correct biased NLOS error Kalman filter, the program joined the non-line-detection module, for use NLOS biased Kalman filter, u
The_shortwave_high-speed_QAM_signal_fast_without_j
- 一种短波高速QAM信号快速无抖动码元同步方案的设计,文章基于Gardner定时误差检测算法、预滤波和一阶过零检测锁相环理论,结合卡尔曼 滤波算法,设计了一种快速无抖动的短波高速QAM信号全数字解调码元同步方案,从理论上 推导了方案中各个参数的设置方法,并在不同的信道环境下测试算法的性能,仿真结果显示 该方案具有优良的性能。 -A short high-speed QAM signal symbol timing quickly without jitter in the desi
kalman
- 有偏卡尔曼滤波器可以用来消除无线定位中的非视距误差,本程序加入了非视距检测模块，对于NLOS使用有偏卡尔曼滤波，对于LOS使用标准卡尔曼滤波-Biased Kalman filter can be used to eliminate the wireless location in NLOS error, the program joined the non-line-detection module, for use NLOS biased Kalman filter, using the s
kalman
- 建立舰船航行的误差模型，通过进行卡尔曼滤波，求出测量曲线与真身曲线的误差曲线-Ship navigation error model established by the Kalman filter, find the measurement curve and the true identity of the error curve curve
trackinger
- 目标跟踪程序,使用matlab编写,采用CV模型,卡尔曼跟踪,有轨迹模拟,给出了跟踪的误差 目标跟踪,采用CV模型,卡尔曼滤波,给出模拟结果和跟踪结果,给出误差分析-Target tracking program, using matlab prepared, using the CV model, Kalman tracking, trajectory simulations have given a tracking error target tracking, using the CV
EKF
- 仿真实现了对目标跟踪的扩展卡尔曼滤波，并对误差进行了统计- realize the extended kalman filter
kalman_filter_result
- 1、对观测数据进行卡尔曼滤波，得到预测的航迹以及估计误差的均值和标准差 2、返回值包括滤波预测后的估计航迹,以及均值和误差协方差-1, the observed data, the Kalman filter, to get the track and the estimated prediction error of the mean and standard deviation 2, the return value, including forecasts of the esti
C
- 卡尔曼滤波器的算法C实现 最佳线性滤波理论起源于40年代美国科学家Wiener和前苏联科学家Ｋолмогоров等人的研究工作，后人统称为维纳滤波理论。从理论上说，维纳滤波的最大缺点是必须用到无限过去的数据，不适用于实时处理。为了克服这一缺点，60年代Kalman把状态空间模型引入滤波理论，并导出了一套递推估计算法，后人称之为卡尔曼滤波理论。卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法，其基本思想是：采用信号与噪声的状态空间模型，利用前一时刻地估计值和现时刻的观测值来
kalman
- 实现对测量电压信号的卡尔曼滤波功能现代测试系统中，传感器输出的信号以电压信号为主。因此对电压的精确测量是测试系统精确测量系统状态的重要前提。然而由于过程扰动噪声和测量误差使测得的电压值偏离真实的电压值。采用卡尔曼滤波方法可以减小上述误差。-Achieve the Kalman filter functional test system to measure the voltage signal, the sensor output signal to a voltage signal. Ther
kalm_monte-carlo_simulation
- 两种噪声下，卡尔曼滤波的100次Monte Carlo仿真验证，画出了每时刻卡尔曼预测均方根误差和估计均方根误差的Monte Carlo变化曲线-with uniform and Gaussian noise respectively,through 100 Monte Carlo simulations,output thecurves of sampled state prediction variances and estimate variances of kalman filter i
UPF
- 把无迹卡尔曼滤波应用在惯性导航系统的处理中~用于估计状态变量误差~-Unscented Kalman filter applications in the treatment of the inertial navigation system- used to estimate the state variable error ~~
Tracking-of-Weak-GPS-Signals
- 针对全球定位系统( GPS) 的微弱信号跟踪容易失锁问题, 提出一种新的跟踪方法. 利用平方根卡尔曼滤波算法, 在运算过程中运用误差协方差矩阵的平方根形式进行迭代, 有效减小了舍入误差带来的影响. 提出了一种新的GPS 信号跟踪测量模型, 在连续积分的基础上, 加入了非连续积分过程, 通过有效处理, 避免了导航信息位翻转对信号相关运算产生的影响-Weak signal tracking for the Global Positioning System (GPS), easy to loss o
kalman
- 卡尔曼滤波在系统辨识中的应用，求出卡尔曼增益矩阵，计算并画出各自的误差图-Kalman filtering system identification, calculated Kalman gain matrix to calculate and draw the diagram of the respective error
EKF
- MATLAB三种卡尔曼滤波对比，分别是扩展卡尔曼滤波EKF，不敏卡尔曼滤波UKF，粒子滤波PF。有跟踪效果和估计值误差。-MATLAB the three Kalman filtering contrast, extended Kalman filter EKF, Unscented Kalman Filter UKF, particle filter PF. Tracking effect and the estimated value of the error.
GPSnSPEEDMETER
- GPS和DR系统的组合导航 卡尔曼滤波 解算与误差分析-GPS and DR integrated navigation system
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- 卡尔曼滤波对比程序 ATC跟踪问题，雷达提供目标位置的测量值，每个笛卡尔坐标方向均有100m左右的RMS误差-ATC tracking, radar measurement of target position error value, RMS has about 100m of each of the Descartes coordinate directions
CV_Model_track_filter
- 借助matlab平台实现卡尔曼滤波算法，并对其外滤波后的误差进行分析-With the aid of matlab platform to realize the kalman filter algorithm, and the outer filter after the error is analyzed
Kalman_filter
- 卡尔曼滤波算法Matlab源代码，研究了卡尔曼滤波前后误差曲线对比，有助于卡尔曼滤波算法的理解和学习-Kalman filtering algorithm Matlab source code to study the Kalman filter error curve before and after comparison of Kalman filter algorithm helps to understand and learn
kalman
- 卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法，它适合于实时处理和计算机运算。 -Kalman filter based on minimum mean square error for the estimation of the best criteria to seek a recursive estimation algorithm, which is suitable for real-time processing and computing.
INS_ukf
- 一个利用无迹卡尔曼滤波进行的惯导结算程序，可以有效的减少由于线性化带来的误差-An unscented Kalman filter for use in inertial navigation settlement procedures, can effectively reduce the error caused due linearization