搜索资源列表
IMM_jidong
- 机动目标的交互多模型跟踪算法，对机动目标的跟踪效果很理想-Maneuvering targets interacting multiple model tracking algorithm for maneuvering target tracking results very satisfactory
IMM_nonliner
- 此程序为机动目标的非线性滤波器的设计，具有一定的实用价值-This program design of nonlinear filters for maneuvering targets, has some practical value
IMM_CS-CA-MCT
- 此程序为机动目标的交互多模型跟踪算法，采用了CS/CA/MCT模型-This program interacting multiple model for maneuvering target tracking algorithm, using the CS/CA/MCT model
435234paper
- 从边检测边跟踪的角度探讨了图象序列中机动目标的形心跟踪问题,深入分析了强高斯噪声背景下目标形心估计的统计性质及用于形心估计的图象预处理方法。-Explored from the perspective of the side edge-detection tracking the centroid tracking of maneuvering targets in the image sequence, in-depth analysis of the statistical properti
2
- 当前对机动目标跟踪的算法研究主要集中在交互式多模型((IMM)算法，它己被证明是目前混合系统估计算法中性价比最好的算法。-Maneuvering target tracking algorithm research focuses on the interacting multiple model ((IMM) algorithm, which has proved to be the best cost-effective algorithm in the current hybrid sy
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- 水下目标被动跟踪及自适应导引律研究，主要解决水下目标的强机动目标跟踪问题 -Underwater passive target tracking and adaptive guidance law studies, mainly to solve the strong maneuvering target tracking problem of underwater target
Study-of-Target-Tracking
- 本文讨论了小波神经网络在机动多目标跟踪中的应用,多目标跟踪就是主体为了维持对多个目标(客体)当前状态的估计而对所接收的量测信息进行处理的过程。以非线性大规模并行分布式处理为特征的神经网络可以解决传统的目标跟踪方法的难以解决的计算量组合爆炸问题以及需要确定机动目标的数学模型的问题, 将小波分析原理与神经网络相融合,提出了基于小波神经网络的目标跟踪方法来提高系统的学习能力、表达能力以及机动多目标状态的估计精度。-This article discusses the application of wa
KKlamzipa
- 卡尔曼滤波器,基于卡尔曼滤波波器的机动目标跟踪可直接使用。 -Kalman filter, maneuvering target tracking filter based on the Kalman filter can be used directly.
ITDOOA_Smoothn
- 在TDOA定位系统中，运用平滑的的IMM算法对机动目标进行被动跟踪 -TDOA positioning system, the use of smooth IMM algorithm for passive tracking of maneuvering targets
Application-of-GPF-Algorithm
- 介绍了高斯粒子滤波器(GPF) 的基本思想和具体算法的实现步骤,并讨论了此算 法在机动目标转弯模型跟踪中的应用-The introduced Gaussian particle filter (GPF), the basic idea and specific implementation steps of the algorithm, and discuss the application of this algorithm in turn model maneuvering target
immtrace
- 基于imm算法的高速高机动目标跟踪，显示效果非常不错。而且易于移植。-IMM algorithm based on high speed and high maneuvering target tracking
EKF-PFfor-LOSand-NLOS
- 该算法能实现在LOS/NLOS环境下对机动目标的良好跟踪，并行使用KALMAN和PARTICLE滤波器-the proposed algorithm can achieve better performance for target tracjing
IMM
- IMM算法，用于机动目标的精确跟踪和定位，该模型集考虑了三种典型子模型:CV,CT,CA.-interacting multiple model (IMM) code for target tracking
target-tracking-algorithm-simulation
- 分析研究了用CV模型，CA模型，Singer模型对单机动目标进行跟踪算 法的matlab仿真。比较了各模型的滤波性能，得出了一些有意义的结论。 -Analysis of the CV model, CA model, Singer model single maneuvering target tracking algorithm matlab simulation. Compare the filtering performance of each model, and draw s
target_tracking_CS_3D
- 机动目标跟踪的Matlab程序，采用当前统计模型以及三维运动目标场景-Maneuvering Target Tracking Matlab program, using the current statistical(CS) model, as well as 3D movement of the target scene
cakf
- 适用于匀加速的机动目标跟踪，人机对话，效果分析-CA KF REMS
IMM
- 使用IMM（交互式多模型）跟踪平面内匀速直线运动和协调转弯组合的机动目标-tracking CV and CT target by using IMM model
kaleman
- 基于卡尔曼滤波的机动目标跟踪VD算法，变维滤波的原理和性能-Based on Kalman Filter VD maneuvering target tracking algorithm, variable dimension filtering principle and performance
kalman_simulation_singer
- 使用辛格模型的卡尔曼滤波器,主要针对机动目标进行跟踪识别-Singh models using Kalman filter
jidongmubiao
- 雷达机动目标跟踪源程序，两个MORD文档，一个比较详细，可以互相对比-Maneuvering target tracking radar source, two MORD document, a more detailed comparison to each other