共查询到19条相似文献,搜索用时 218 毫秒
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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
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《佳木斯教育学院学报》2016,(10)
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
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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
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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
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张圆 《海军大连舰艇学院学报》2003,26(2):57-59
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
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Using interacting multiple model particle filter to track airborne targets hidden in blind Doppler 总被引:1,自引:0,他引:1
DU Shi-chuan SHI Zhi-guo ZANG Wei CHEN Kang-sheng 《浙江大学学报(A卷英文版)》2007,8(8):1277-1282
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
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GUO Rong-hua QIN Zheng 《浙江大学学报(A卷英文版)》2007,8(10):1588-1595
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
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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
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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
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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
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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
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Ian Putt Lyn Henderson William Patching 《Educational technology research and development : ETR & D》1996,44(4):7-22
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
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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