Description: 1、 假定有一目标沿水平方向运动,起始位置为(-2000米,500米),运动速度为10米/秒,扫描周期 秒, , 米,采用蒙特卡洛方法对跟踪滤波器进行仿真分析,仿真次数为100次-1, it is assumed that the target has one movement along the horizontal direction, the starting position for the (-2000 meters, 500 meters), velocity of 10 m/s, scanning cycle of seconds, and rice, using the Monte Carlo method for simulation analysis of tracking filter The simulation frequency was 100 times Platform: |
Size: 124928 |
Author:刘思 |
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Description: 进行蒙特卡罗仿真,采用Jpadf对两个有杂波的目标进行跟踪。仿真结果表明,跟踪效果很好,基本与真实真是轨迹重叠-Monte-Carlo simulation carried out using two Jpadf clutter on the target track. The simulation results show that good tracking results, the basic trajectory is overlapping with the real Platform: |
Size: 3072 |
Author:蓉儿 |
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Description: 卡尔曼滤波在目标跟踪中应用仿真研究。
子函数能完成对运动目标位置的卡尔曼滤波跟踪。
主函数针对一具体假设完成跟踪,并且完成蒙特卡罗仿真。
情景假定:有一两座标雷达对一平面上运动的目标进行观测,目标在 0-600秒沿x轴作恒速直线运动,运动速度为15米/秒,目标的起始点为(-10000米,2000米)。雷达扫描周期T=2秒,x和y独立地进行观测,观测噪声的标准差均为100米。-This program described the Kalman filter algorithm according to a given scenario, simulation achieved the target tracking observation data and Kalman filter results, and the experimental results is studied using the Monte Carlo simulation. Platform: |
Size: 2048 |
Author:熊 |
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Description: 介绍了三点垂直线阵被动定位的原理. 结合矢量水听器测得的方位角和高低角及到达
阵元间的时延差, 建立了三维坐标下的状态方程和观测方程.运用扩展卡尔曼滤波算法, 研究了该系统的目标运动分析问题. 通过蒙特卡洛模拟仿真试验, 结果表明上述方法具有较高的定位性能,有较强的使用价值.
-Introduced three vertical linear array passive location principle of vector hydrophone. Combining the measured azimuth angle and pitch angle and arrival time delay difference between array elements, establish the three-dimensional coordinates of the state equation and observation equation. Using the extended Calman filter algorithm, on the target motion analysis by Monte Carlo simulation. Test, results show that the method has high positioning performance, has the strong use value. Platform: |
Size: 240640 |
Author:于文娟 |
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Description: 下面是利用卡尔曼滤波的方法,实现雷达对目标的跟踪:一目标沿水平方向运动,起始位置为(-2000米,1000米),运动速度为15米/秒,扫描周期T=2秒, 米,采用蒙特卡洛方法对跟踪滤波器进行仿真,仿真次数为100次。-Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times. Platform: |
Size: 4096 |
Author:Allen Wang |
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Description: 了适应跟踪过程中目标光照条件的变化,并对目标特征进行在线更新,提出一种将局部二元模式(LBP)
特征与图像灰度信息相融合,同时结合增量线性判别分析对目标进行跟踪的算法.跟踪开始前,为了获得比较准确的目标描述,使用混合高斯模型和期望最大化算法对目标进行分割;跟踪过程中,通过蒙特卡罗方法对目标区域和背景区域进行采样,并更新特征空间参数.得到目标和背景的最优分类面;最后使用粒子滤波器结合最优分类面对目标状态进行预测.通过光照变化的仿真视频和自然场景视频的跟踪实验,验证了文中算法的有效性.-Tracking process to adapt to changes in the target lighting conditions, and the target feature for online updates, proposes a local binary pattern (LBP) features and image intensity information integration, combined with incremental linear discriminant analysis for target tracking algorithms. Track begins, in order to obtain a more accurate description of the objectives, the use of Gaussian mixture models and expectation maximization algorithm for target segmentation tracking process, through the Monte Carlo method of the target area and the background area sampled and updated feature space parameters. Get the optimal target and background classification surface finally Using Particle Filter optimal classification predict the state of the face of goal. By varying illumination simulation video and natural scenes video tracking experiment to verify the effectiveness of the proposed algorithm. Platform: |
Size: 608256 |
Author:wenping |
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Description: 用卡尔曼滤波器实现目标追踪,利用蒙特卡洛的方法对跟踪滤波器进行仿真分析,次数为1000次
-Kalman filter to achieve target tracking, using the Monte Carlo method of tracking filter simulation analysis, the number is 1000 times Platform: |
Size: 1024 |
Author:蒋小燕 |
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