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1.
将卡尔曼(Kalman)滤波器的变维滤波算法应用于雷达数据处理中,对机动目标进行跟踪,得出机动目标的滤波数据曲线,并对目标进行了拦截仿真。仿真结果表明该方法能估计出目标的运动特征并对运动目标拦截成功。  相似文献   

2.
本文对基于STF的当前统计模型及其自适应算法(STF-CS)进行研究,检验了模型在低空的适用性能,并对实测数据进行仿真最终得到了对于低空飞行器跟踪比较好的自适应算法,预测了目标机动情况,进而有利于低空空域飞行器的跟踪。  相似文献   

3.
针对如何避免或减少由于目标的机动运动所带来的估计误差问题,提出了具有门限的相互作用多模型估计(TIMM)的新算法.该算法主要应用于雷达目标自动跟踪系统中.TIMM算法在相互作用多模型估计器(IMM)算法的基础上引入门限控制器来提高跟踪精度,该算法同样适用于其他各种改进的IMM算法.通过2个不同的例子,对由TIMM和IMM这2种算法产生的均方根误差进行比较.仿真结果表明,同IMM算法相比较,TIMM算法可减少估计误差,从而提高机动目标的跟踪性能.  相似文献   

4.
针对无线传感器网络实际环境的非线性模型目标跟踪问题,提出一种改进的粒子滤波跟踪算法。首先用模糊C-均值算法确定量测的目标归属,对同一目标的量测进行线性融合,然后用采样重要重采样粒子滤波估计目标位置。仿真结果表明:在非线性模型下,所提出算法与扩展卡尔曼滤波相比,目标估计位置的均方根误差从0.6895m显著减小到0.3703m。  相似文献   

5.
目标定位跟踪的关键在于得到精确的定位数据,而要获取精确的定位数据取决于高效的滤波算法。无迹卡尔曼滤波由于具有定位精度高、算法复杂度低等特点,被广泛应用于非线性系统中。针对无迹卡尔曼滤波在目标运动状态突变时容易出现跟踪精度下降、目标丢失等问题,对传统无迹卡尔曼滤波算法进行优化和改进,通过将无迹卡尔曼滤波与IMM卡尔曼滤波算法相结合,利用IMM算法的鲁棒性有效提高了无迹卡尔曼滤波在目标机动运动时的跟踪精度,避免了目标丢失。实验仿真结果表明,IMMUKF算法具有很好的稳定性,可实现复杂的目标跟踪。  相似文献   

6.
针对视频图像运动目标跟踪时的时延问题和目标被遮挡时易丢失的问题,提出了一种基于Meanshift采样的辅助变量粒子滤波跟踪算法。采用AVPF算法作为跟踪算法的主体框架,对每个辅助采样粒子进行Meanshift转移,利用采样粒子确定候选目标区域,对候选目标模型与目标模型进行相似性度量,更新粒子权重,最后估计目标状态。仿真结果显示,本文算法能够有效处理跟踪过程中目标部分被遮挡的问题,具有较好的鲁棒性和较好的实时性。  相似文献   

7.
为深入探讨机动目标跟踪问题、设计实时性好、估计精度高的目标状态估计器,本对火控系统中的核心问题——目标跟踪和建模,从机动目标运动数学模型和自适应滤波算法两个方面进行了评述和比较研究,剖析了其优劣。回顾讨论了近期的发展情况,提出了未来的发展趋势。  相似文献   

8.
针对在杂波环境下对机动多目标进行检测与跟踪时,跟踪精度低、计算复杂度高等问题,提出一种基于高斯粒子滤波(GPF)实现的势概率假设密度滤波(CPHD)平滑算法。文章从CPHD平滑公式出发,结合GPF的特点,在CPHD的预测和更新步迭代目标状态的均值和协方差,并采用高斯函数来近似目标状态的后验概率密度,提出基于高斯粒子滤波实现的GPF-CPHD平滑器。仿真结果表明,所提平滑器的检测与跟踪性能优于未经平滑处理的CPHD滤波器。  相似文献   

9.
针对一般自适应算法对弱机动、非机动目标的跟踪精度不高的问题,将模糊逻辑引入系统,对并行工作的两滤波器进行数据融合。仿真结果表明:与一般自适应算法相比,本算法对不同机动程度的目标跟踪精度均有大幅提高。  相似文献   

10.
对单人头部运动的跟踪,提出了一种基于头部轮廓和颜色的粒子滤波跟踪算法.结合刻画头部轮廓的椭圆模型和刻画面部区域颜色的颜色直方图模型模拟人的头部.同时采用自适应速度模型来刻画目标的运动.最后利用粒子滤波实现目标的跟踪.对测试序列的实验表明,该算法能较好地克服光照和姿态的变化,在背景比较复杂的情形下也能实现对目标的跟踪.  相似文献   

11.
In airborne tracking,the blind Doppler makes the target undetectable,resulting in tracking difficulties. In this paper,we studied most possible blind-Doppler cases and summed them up into two types:targets' intentional tangential flying to radar and unintentional flying with large tangential speed. We proposed an interacting multiple model(IMM) particle filter which combines a constant velocity model and an acceleration model to handle maneuvering motions. We compared the IMM particle filter with a previous particle filter solution. Simulation results showed that the IMM particle filter outperforms the method in previous works in terms of tracking accuracy and continuity.  相似文献   

12.
An unscented particle filter for ground maneuvering target tracking   总被引:1,自引:0,他引:1  
In this study, an unscented particle filtering method based on an interacting multiple model (IMM) frame for a Markovian switching system is presented. The method integrates the multiple model (MM) filter with an unscented particle filter (UPF) by an interaction step at the beginning. The framework (interaction/mixing, filtering, and combination) is similar to that in a standard IMM filter, but an UPF is adopted in each model. Therefore, the filtering performance and degeneracy phenomenon of particles are improved. The filtering method addresses nonlinear and/or non-Gaussian tracking problems. Simulation results show that the method has better tracking performance compared with the standard IMM-type filter and IMM particle filter.  相似文献   

13.
将交互式多模型(IMM)算法应用到分布式多传感器融合跟踪系统中,代替原有系统的单模型Kalman滤波,推导出了分布式多传感器交互式多模型信息融合算法,并通过仿真实例验证了算法的效果。  相似文献   

14.
直方图方法常用于计算机视觉领域,好的直方图比较算法能够有效地提高检索的性能.但直方图比较算法在三维模型检索中的应用则较少得到研究.应用方向梯度直方图提取三维模型的直方图特征,然后给出一种直方图比较算法用于三维模型检索.实验结果表明:该直方图比较算法对某些种类的模型的检索性能比已有的算法更优.  相似文献   

15.
现有大部分融合跟踪算法都使用分类器型跟踪算法,这种算法在目标尺度发生变化时会存在一定误差。虽然已有一些解决方案,但仍不能从根本上解决该问题,而且一般无法估算目标的旋转状态。为此,基于CMT 算法提出一种新的基于点的多传感器融合跟踪算法。在获取目标状态上综合了多传感器信息,并对目标中心使用卡尔曼滤波进行修正,能够跟踪目标并获得目标的尺度及旋转信息。实验结果表明,该算法在常见分辨率下跟踪非旋转目标,重叠率与现有算法相当,在分辨率较高的情况下,在实时性上具有优势。  相似文献   

16.
在复杂地物类型背景条件下,多目标跟踪算法通常表现出目标识别与跟踪能力较差问题,特别在被其它地物遮挡后目标跟踪丢失更严重。提出一种改进的基于多源特征提取与特征融合的多目标跟踪算法。为提高目标在复杂背景下的空间分辨力,充分利用对异类物体判别能力较强的高层特征和针对同类不同物体判别能力较强的浅层特征,提高复杂背景下地物目标的识别能力。同时,为了解决物体被遮挡后导致跟踪算法丢失目标问题,利用滤波器获得追踪目标的空间尺度大小,提高跟踪算法的准确性与可靠性。实验表明,多目标跟踪算法识别目标的准确性可达87.5%,误差在[±2.31%]左右,具有良好的尺度估计效果。  相似文献   

17.
Electrical impedance tomography (EIT) tech-niques have been investigated extensively during thepast decades, as a kind of visible multiphase flowmeasurement technique in industry and medical in-strument[1—5]. EIT has several advantages over othertomographic techniques, e. g. low cost, rapid re-sponse, portability, non-invasion, and robustness. Inindustrial field, EIT has found many applications,such as measurement of two-phase ( e. g. gas/liq-uid[6]and gas/solid[7,8]) flows in pipelines or…  相似文献   

18.
This paper reports data obtained on practicing teachers' thinking as they interacted with a professional development interactive multimedia (IMM) courseware package. The data were obtained from 11 participating teachers via stimulated-recall interviews. Two types of thinking are detailed and discussed. The first type is those mediating processes engaged in by teachers during study sessions that related to the academic and professional content of the IMM package. The second type is those evaluative thoughts reported by teachers that related to instructional design aspects of the IMM courseware. The latter data were used to develop a classification system that provides a conceptualization of the major components, as perceived by the participating teachers, that relate to instructional design. He has been involved in teaching mathematics education courses at a distance via printed text to inservice teachers and through interactive multimedia (IMM) courseware to Aboriginal and Torres Strait Islander teacher education students in their home communities. His current research interests focus on tertiary students' thinking while studying from IMM materials and their usage patterns of IMM courseware. He also supervises post graduate students in the area of teaching problem solving in upper primary and lower secondary school. Her fields of teaching and research interests concern the cultural contextualization of instructional design of interactive multimedia (IMM) and the World Wide Web (WWW). Other research interests focus on the mental models, thinking processes, and teaching-learning strategies used by teachers and learners when interacting with electronic databases, IMM, and the WWW. His areas of expertise are special education and distance education. His current research interests with respect to interactive multimedia (IMM) focus on tertiary students' thinking while studying with IMM materials and their usage patterns of IMM courseware. He is also involved in a number of school curriculum and systemic evaluations.  相似文献   

19.
针对目标跟踪中因严重遮挡、变形、快速运动等因素导致的跟踪失败问题,提出一种基于相关滤波的重检测跟踪算法。首先使用相关滤波算法Staple对目标进行位置估计,然后构造一个检测滤波器对Staple算法跟踪结果进行置信度检测,将检测分数作为跟踪结果的置信度评估结果。若检测分数小于给定阈值,则激活在线SVM分类器对跟踪结果进行重检测。同时用检测滤波器对SVM分类结果进行检测,若检测分数大于Staple跟踪算法检测分数,则采用SVM的跟踪结果。在基准数据集OTB-2013上的实验结果表明,该算法精度达到80.2%,成功率达到60.6%,整体性能优于其它6种对比算法。  相似文献   

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