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【Documents】 ParticleFilterTutorial DL : 0: 非常经典的粒子滤波文章，内包括EKF和各种粒子滤波算法介绍(Very classic particle filter article, including EKF and a variety of particle filter algorithm)
Update : 2024-05-14 Size : 329728 Publisher : 喔
【matlab】 SLAM DL : 0: 基于扩展卡尔曼滤波的slam仿真，使用matlab，有路标点和运动轨迹，仿真真实环境(This is a Extended Kalman Filter based SLAM example)
Update : 2024-05-14 Size : 122880 Publisher : jsdd25
【Big Data】 73881202 DL : 0: 给出了一种基于陀螺和四元数的EKF卫星姿态确定算法,非常实用()
Update : 2024-05-14 Size : 236544 Publisher : Ckllste
【matlab】 KEFshili DL : 0: 基于singer模型的雷达信号跟踪ekf算法滤波示例，(EKF algorithm filtering example)
Update : 2024-05-14 Size : 1024 Publisher : lanrend
【matlab】 ekf DL : 0: 这是一个标量卡尔曼滤波程序，简单易懂，适合初学者.(schematic kf)
Update : 2024-05-14 Size : 53248 Publisher : joshuauav
【Special Effects】 ekf DL : 0: 利用matlab简单实现扩展卡尔曼滤波，大家通过该代码可以更好地了解扩展卡尔曼滤波(Simple implementation of extended Calman filtering using MATLAB)
Update : 2024-05-14 Size : 2048 Publisher : 抹布
【Embeded-SCM Develop】飞控源码EKF完成 DL : 0: 基于stm32f407的四轴飞行器飞控源码，其中有个人对卡尔曼滤波的优化算法(Stm32f407 based four axis aircraft flight control source, in which there is a personal optimization algorithm for Calman filtering.)
Update : 2024-05-14 Size : 22702080 Publisher : 风中追风zzz
【Industry research】 Particle Swarm Optimization of an Extended Kalman Filter for speed and rotor flux estimation of an induction motor drive DL : 0: A novel method based on a combination of the Extended Kalman Filter (EKF) with Particle Swarm Optimization (PSO) to estimate the speed and rotor flux of an induction motor driveis presented. The proposed method will be performed in two steps. As a first step, the covariance matrices of state noise and measurement noise will be optimized in an off-line manner by the PSO algorithm. As a second step, the optimal values of the above covariance matrices are injected in our speed-rotor flux estimation loop (on-line).Computer simulations of the speed and rotor-flux estimation have been performed in order to investigate the effectiveness of the proposed method. Simulations and comparison with genetic algorithms (GAs) show that the results are very encouraging and achieve good performances.
Update : 2019-01-08 Size : 665750 Publisher : pudn0507@yahoo.fr
【matlab】单站相位差变化率定位 DL : 6: 利用EKF实现单站相位差变化率定位，并计算CRLB、画GDOP图。参考文献为《一种快速高精度无源定位方法的研究》(Using EKF to locate the change rate of single station phase difference, calculate CRLB and draw GDOP diagram. References are "Research on a Fast and High Precision Passive Location Method")
Update : 2024-05-14 Size : 2048 Publisher : 凡木shine
【Other】 EKF_comparison DL : 0: 几种扩展卡尔曼滤波的性能比较。详细算法推导与仿真参数参考论文： A Comparison of Recursive Style Angle-only Target Motion Analysis Algorithms(A Comparison of Recursive Style Angle-only Target Motion Analysis Algorithms)
Update : 2024-05-14 Size : 7168 Publisher : 乱剑迷心
【Other】 EKF-soc DL : 1: 基于扩展卡尔曼滤波的电池soc估计simulink模型，将模型计算得到的电池soc与扩展卡尔曼滤波得到的电池soc进行比较。(Based on the Simulink model of battery SOC estimation with extended Kalman filter, the battery SOC calculated by the model is compared with the battery SOC obtained by extended Kalman filter.)
Update : 2024-05-14 Size : 113664 Publisher : 24小子
【matlab】 GM-PHD1 DL : 1: Over-the-horizon radar (OTHR) exploits skywave propagation of high-frequency signals to detect and track targets, which are different from the conventional radar. It has received wide attention because of its wide area surveillance, long detection range, strong anti-stealth ability, the capability of the long early warning time, and so on. In OTHR, a significant problem is the effect of multipath propagation, which causes multiple detections via different propagation paths for a target with missed detections and false alarms at the receiver [1–6]. Nevertheless, the conventional tracking algorithms, such as probabilistic data association (PDA) [7–9], presume that a single-measurement per target, it may consider the other measurements of the same target as clutter, and multiple tracks are produced when a single target is present. Therefore, these methods cannot effectively solve the multipath propagation problem.(Conventional multitarget tracking systems presume that each target can produce at most one measurement per scan. Due to the multiple ionospheric propagation paths in over-the-horizon radar (OTHR), this assumption is not valid. To solve this problem, this paper proposes a novel tracking algorithm based on the theory of finite set statistics (FISST) called the multipath probability hypothesis density (MP-PHD) filter in cluttered environments. First, the FISST is used to derive the update equation, and then Gaussian mixture (GM) is introduced to derive the closed-form solution of the MP-PHD filter. Moreover, the extended Kalman filter (EKF) is presented to deal with the nonlinear problem of the measurement model in OTHR. Eventually, the simulation results are provided to demonstrate the effectiveness of the proposed filter.)
Update : 2024-05-14 Size : 18432 Publisher : ioeyoyo
【Other】 SLAM-MATLAB-code DL : 0: slam的仿真，使用matlab语言进行仿真，包括ekf,fastslam(Slam simulation, using MATLAB language for simulation, including ekf, FastSLAM)
Update : 2024-05-14 Size : 16242688 Publisher : SHU_jixie
【Other】 zuizhong DL : 1: 对UKF进行改进，采用最小偏度采样减少采样点数量，并结合实际状态方程和测量方程直接进行线性运算。改进后的UKF对蛇形机动目标的跟踪效果明显优于EKF(the mini-skewness sampling is adopted to reduce the number of sampling points, and the linear operation is carried out directly combining with the actual state equation and measurement equation. The experimental results show that the improved UKF has a better tracking effect on snake-like maneuvering targets than EKF)
Update : 2024-05-14 Size : 2048 Publisher : 晓丹晓兰
【Other】 EKF DL : 0: 扩展卡尔曼滤波算法的simulink模型(Extended Kalman Filter)
Update : 2024-05-14 Size : 1024 Publisher : yuer0503
【matlab】无人机.zip DL : 0: VirtualArena是用于控制设计和系统仿真的面向对象的Matlab集成开发环境，其实现目标如下: 1)避免重新实现大多数项目共有的功能，例如: -离散化策略(例如欧拉向前，龙格库塔，…) -系统线性化的雅可比计算方法，例如基于符号或样本的方法 -实施标准车辆动力学，如独轮车或类似无人机的车辆，并实施不同的姿态表示，如旋转矩阵或四元数 -状态观测器自动生成，例如扩展卡尔曼滤波器(EKF) -基于网络的控制器的实施结构 - … 2)建立一套通用接口，允许独立设计和集成不同的组件(例如，车辆模型、控制器、传感器、观察器、...)并实施可重用/透明/易于调试的编程风格。(Virtualarena is an object-oriented matlab integrated development environment for control design and system simulation. Its implementation objectives are as follows: 1) Avoid re implementing features common to most projects, such as: -Discretization strategies (e.g. Euler forward, longkutta,...) ) -Jacobian calculation methods for system linearization, such as symbol based or sample based methods -Implement standard vehicle dynamics, such as wheelbarrow or similar UAV vehicles, and implement different attitude representations, such as rotation matrix or quaternion -Automatic generation of state observers, such as extended Kalman filter (EKF) -Implementation structure of network-based controller -... 2) Establish a common set of interfaces that allow independent design and integration of different components (e.g., vehicle models, controllers, sensors, viewers,...) and implement a reusable / transparent / easy to debug programming style.)
Update : 2024-05-14 Size : 5682176 Publisher : 吴阿斗
【matlab】扩展卡尔曼滤波SOC算法Simulink模型 DL : 3: 在simulink中采用扩展卡尔曼滤波估算电池soc(Estimating SOC of battery with extended Kalman filter in Simulink)
Update : 2024-05-14 Size : 616448 Publisher : plateauNE
【Other】卡尔曼滤波估测电池SOC DL : 1: 用于动力电池SOC估计，在simulink搭建模型，采用一阶RC环节(matlab/Simulink,SOC estimation,extended Kalman filter)
Update : 2024-05-14 Size : 86016 Publisher : 爱学习的小毛
【Other】电机 DL : 0: 基于EKF的三相PMSM无传感器矢量控制框图，EKF算法采用s函数进行编写，函数命名为EKF。其中，输入为电机在静止坐标系下的钉子电压和定子电流，输出为定子电流估计值，转速和转子位置(Based on EKF's three-phase PMSM sensorless vector control block diagram, EKF algorithm uses s function to write, and the function is named EKF. Among them, the input is the nail voltage and stator current of the motor in the static coordinate system, and the output is the estimated value of stator current, speed and rotor position)
Update : 2024-05-14 Size : 1059840 Publisher : 咿丫丫1234562
【Other】 StateEsti DL : 2: 车辆状态估计的simulink仿真模型,可用于估计横摆角速度，侧偏角，纵向速度，使用EKF(the simulink model of the vehicle motion state estimation based on EKF)
Update : 2024-05-14 Size : 21504 Publisher : twk&lxj

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