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bpsk
- matlab实现BPSK基带信号,用均方根升余弦成型滤波-bpsk
Particle_filter
- 基于粒子滤波器的机动目标跟踪技术 首先 , 概 要介绍传统的Kalman滤波器,以及有所改进的扩展Kalman滤波器。 其次,为了能更好地解决在动态模型为非线性且噪声为非高斯的条件下对机动目标的 跟踪问题,通过概率统计理论详细阐述粒子滤波器基本原理。然后,针对不同的使用 条件,根据粒子滤波器的基本理论做出适当的修改和整理,就得到了四个相关的粒子 滤波器的变型,使用州以JLAB把它们对机动目标的跟踪性能作了详细地计算机模拟 仿真且用均方根误差更加精确地进行了比较。最后,把粒
KF-Application-in-Navigation
- Kalman滤波实质上是一种实时递推算法,其设计方法简单易行,所需的存储空间小,因此,在工程实际中受到了广泛重视。随着计算机技术的飞速发展,以Kalman滤波技术为核心的现在估计理论也已广泛应用于航天、航空、航海、系统工程、通信、工业过程控制、遥感等各个领域。本文紧密结合Kalman滤波理论在导航、制导领域的应用展开。主要讨论各种导航种类中的惯性导航。讨论Kalman滤波在惯性导航实现以及其与其他种类导航的组合导航实现时的应用。并且建模实现惯性导航的过程,并且比较了在有辅助信息前提下误差均方根的
Square-Root-Raised-Cosine-Filter
- 根升余弦基带成形滤波器的设计及其DSP实现.最后利用系数对称特性,在某软件无线电电台系统的DSP 芯片中编程, 实现均方根升余弦滤波器的成形滤波算法-First this essay introduces baseband shaped filter theory and requirements of an SDR system on shaped filtering. And, the author introduces various realization methods
16QAm
- 采用MATLAB编程,产生一个16QAM基带信号,并进行实数倍插值计算。要求符号率为1 MSymbol/s,采用均方根升余弦滤波成形,滚降系数=0.5。产生{…1,0,1,1,…}的伪随机序列,经过映射、4倍成形滤波、FIR半带滤波、实数倍内插滤波,最后输出4.315倍时域/频域响应。给出信号序列经过各级滤波的时域、频域结果-Using MATLAB programming, resulting in a 16QAM baseband signal, and the real multiples
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
Monte-Carlo-
- 利用蒙特卡洛仿真算法检验在不同模型下,滤波平均误差、均方根误差的统计结果,得到随机误差,进行滤波分析。-Monte Carlo simulation algorithm testing under different models, statistical results filtered average error, root mean square error, the random error filtering analysis.
CV
- 一种匀速目标的滤波算法。绘制出了真实值、观测值、滤波值和预测值、以及x、y轴的滤波均方根误差。-A filtering algorithm targets uniform. Draw out the true value, observed value, the filter value and the predicted value, and the x, y-axis RMS error filtering.
CV2D_JDemo
- 对目标进行2维卡尔曼滤波,绘制出了目标轨迹、x、y轴的滤波方差、位置均方根误差和速度均方根误差。-The Kalman filter 2 target, drawn out of the target track, x, y axis variance filter, the position and velocity root mean square error RMSE.
kf_lsd
- 一种考虑观测噪声和系统噪声的滤波算法,绘制出了目标轨迹和跟踪效果、x、y轴的滤波方差、位置均方根误差和速度均方根误差。-Consider an observation noise and system noise filtering algorithm, to map out the trajectory of the target and tracking results, x, y-axis variance filtering, position and velocity RMSE roo
PF-RMSE
- PF-RMSE 单变量非静态增长模型(UNGM模型)粒子滤波算法下,均方根误差分析仿真-Under PF-RMSE univariate non-static growth model (UNGM model) particle filter, root mean square error analysis and simulation
residualR
- 扩展卡尔曼与粒子滤波结合的程序,用扩展卡尔曼作为提议分布,然后利用粒子滤波进行滤波跟踪,效果比常用的粒子滤波要好!均方根误差也比较小。-Extended Kalman particle filter in conjunction with a program, as proposed by the extended Kalman distribution and particle filter for filtering track, the effect is better than the
CKFaSCKF
- 容积卡尔曼滤波和均方根卡尔曼滤波算法在目标跟踪时的性能比较-comparison of CKF and SCKF algorithm in the target tracking performance
Square-root_algorithms_
- 该文章描述了基于MCC的均方根卡尔曼滤波算法,其性能由于传统的卡尔曼滤波,尤其是当测量噪声为脉冲噪声时。-square root kalman filtering algorithm based on MCC is descr ipted in this paper. the performance of the proposed algorithm in this paper outperforms the traditional kalman filter, especially for t
LineJob
- 市电均方根值算法及滤波,市电逆变锁相,飞思卡尔HCS08核心平台,汇编语言;(City power RMS algorithm and filter, power inverter phase lock, fly Carle HCS08 core platform, assembly language;)
02生成观测数据
- 使用扩展卡尔曼滤波对目标轨迹进行估计,计算速度加速度的均方根误差,有效反应估计经度(Using the extended Calman filter for target trajectory estimation,calculate the root mean square error of velocity and acceleration, and estimate the longitude of effective response .)
KF Boat_ZKX
- 此程序是用于单目标的跟踪定位代码,系统选用匀加速的情况,代码没有bug,可直接运行出结果,比较了运用KF前后的RMSE均方根误差,有图形表示,适合初学者学习Kalman Filter。 用得好,麻烦好评一下,谢谢嘻嘻嘻!(This program is used for single target tracking and positioning code. The system adopts uniform acceleration. The code has no bugs and can