搜索资源列表
FIMM
- FIMM自适应交互多模型的机动目标跟踪，FIMM_PDA.m为主程序-FIMM adaptive interacting multiple model target tracking, FIMM_PDA.m-based program
IMM_MSPDA
- 多传感器多目标数据融合的ＩＭＭ＿ＭＳＰＤＡ关联算法，算法结果表明多模型算法用于跟踪机动目标的良好性能。-Multi-target multi-sensor data fusion IMM_MSPDA association algorithm, the algorithm results show that the multiple model algorithm for tracking maneuvering targets good performance.
IMM3-Kalman
- 3模型、2模型的交互多模型算法与普通卡尔曼滤波算法在跟踪机动目标的时候的性能比较-3 models, 2 models of interactive multi-model algorithm and the ordinary Kalman filter algorithm in maneuvering target tracking performance when compared
Radar_KalmanIMM6
- matlab 编写的源程序交互多模算法，用于目标多机动蒙特卡罗法仿真跟踪滤波器 本人十分关注 机动目标。这个是利用交互多模算法，用于目标多机动假设运动情况下的蒙特卡罗法仿真跟踪滤波器。matlab 编写的源程序。 但是有一点小错误，如果您能修改，不胜感激。-matlab source code prepared by the interactive multi-mode algorithm, used to target many motor simulation Monte Carlo
AnalgorithmSTFPDAforManeuveringTargetTracking
- 一种实现机动目标跟踪的STF动态模型PDA算法 我存的一篇论文，拿来与大家共享-An algorithmSTF-PDAhas been presented based on the strongtracking filterwith dynamicallymodifying structure of model.The performance of probability data association (PDA) can be improved by this algorithm.T
Kalman_filter
- 卡尔曼滤波是现代数字信号处理经典算法，本程序应用matlab语言实现利用卡尔曼滤波器跟踪机动目标。-Kalman filtering is a classic of modern digital signal processing algorithms, the application of this procedure using matlab language maneuvering target tracking Kalman filter.
Kalman
- 跟踪滤波的目的是根据已获得的目标观测数据对目标的状态进行精确估计，跟踪滤波的关键是对机动目标的跟踪能力，机动目标跟踪的主要困难在于跟踪设定的目标模型与实际的目标动力学模型的匹配问题。 -The purpose of tracking filter is based on objective observational data has been the target of the state accurately estimate the key to tracking filter for
select_satellite
- 用于GPS定位，载入强机动运动载体，实时进行跟踪，并显示所用定位卫星个数及编号。采用的算法参照其中的PDF文档编写，令有模糊选星法。可以显示不同选星方法的GDOP值及选星所用时间-Used for GPS positioning, strong motor moving vehicle load, real-time tracking, and display the number of satellites used for positioning and number. Algorithm
IMM
- （交互式多模型算法）目标跟踪程序,java语言编写，包含了kalman滤波。这种方法的特点是在各模型之间“转换”，自动调节滤波带宽，和适合机动目标的跟踪。可以直接调用，附有示例代码-A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testi
CostReference
- 一篇关于代价参考粒子滤波算法的论文，该算法的优点是不需要任何先验概率知识的假定和重采样过程，可实现并行处理。本文将代价参考粒子滤波与当前统计模型的优点相结合 ,提出一种新的当前统计模型自适应跟踪算法 ,用于非线性非高斯系统的机动目标跟踪。-A particle filter on the reference price of the paper, the advantages of the algorithm does not require any prior knowledge of the
BearingsonlyTargetTrackingmobileoptimizationofobse
- 纯方位目标跟踪中的观测器机动优化研究和如何实现的方法(2)-Bearings-only Target Tracking mobile optimization of observer and how to implement the method (2)
tracking
- 这是用C语言编写的机动目标跟踪程序，用matlab仿真实现的。直接用于机动目标跟踪仿真。-This is written with C language target tracking procedures implemented with the matlab simulation. Directly used for maneuvering target tracking simulation.
344556775444
- 跟踪问题本质上是一个混合系统的状态估计问题[38】，即利用传感器的离散 观测来估计所感兴趣区域内目标个数和状态的过程，其中目标状态包括运动分量 (位置、速度、加速度)和属性信息(信噪比、谱特征，身份信息等)。目标跟 踪问题根据跟踪环境的不同可以分为单机动目标跟踪和多机动目标跟踪。-Tracking is essentially a hybrid system of the state estimation problem [38】, namely the use of sensors
IMMbasic
- 交互多模型算法基本框架，用于机动目标跟踪的程序源码-kalman filter and the basic procedural framework for the uniform straight line tracking
PureangleofTrackingAlgorithm
- 通过实验仿真分析比较了目标在弱机动和强机动的条件下MGEKF算法和OAUKF算法的跟踪效果结果表明后者能无偏且更加有效地实现目标的跟踪 -The simulation analysis and comparison of the target in the weak mobility and strong mobility conditions MGEKF the tracking algorithm and OAUKF effect results show that the latter
aa
- 有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 -The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value
dddqqq
- 有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 -The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value
ssaa
- 有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 -The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value
1111
- 有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 -The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value
code
- GPS 跟踪环路性能分析, TCXO, OCXO, XO,不同机动,动态的比较,对相位噪声的影响, 仿真-GPS tracking loop performance analysis, TCXO, OCXO, XO, different motor, dynamic comparison of the impact of phase noise simulation