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基于无迹卡尔曼滤波的高纬度超视距目标跟踪方法 被引量:4
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作者 孙永侃 张萍萍 《火力与指挥控制》 CSCD 北大核心 2018年第1期121-127,131,共8页
传统超视距目标跟踪中将目标位置信息转变到以融合中心为原点的直角坐标系下进行,针对这种方法在高纬度地区使用所带来的目标位置信息误差问题,提出将目标信息转变到横向地球坐标进行表示,在此基础上构建了目标运动模型、目标观测模型... 传统超视距目标跟踪中将目标位置信息转变到以融合中心为原点的直角坐标系下进行,针对这种方法在高纬度地区使用所带来的目标位置信息误差问题,提出将目标信息转变到横向地球坐标进行表示,在此基础上构建了目标运动模型、目标观测模型以及基于无迹卡尔曼滤波的超视距目标跟踪模型,仿真分析结果表明,所提出的方法能够提高高纬度地区的超视距目标跟踪精度,能够满足高纬度地区舰艇作战指挥系统对超视距目指信息的精度需求。 展开更多
关键词 高纬度 超视距目标跟踪 横向坐标系 目标运动模型 目标观测模型 UT变换 无迹卡尔曼滤波
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SMC-PHD based multi-target track-before-detect with nonstandard point observations model 被引量:5
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作者 占荣辉 高彦钊 +1 位作者 胡杰民 张军 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第1期232-240,共9页
Detection and tracking of multi-target with unknown and varying number is a challenging issue, especially under the condition of low signal-to-noise ratio(SNR). A modified multi-target track-before-detect(TBD) method ... Detection and tracking of multi-target with unknown and varying number is a challenging issue, especially under the condition of low signal-to-noise ratio(SNR). A modified multi-target track-before-detect(TBD) method was proposed to tackle this issue using a nonstandard point observation model. The method was developed from sequential Monte Carlo(SMC)-based probability hypothesis density(PHD) filter, and it was implemented by modifying the original calculation in update weights of the particles and by adopting an adaptive particle sampling strategy. To efficiently execute the SMC-PHD based TBD method, a fast implementation approach was also presented by partitioning the particles into multiple subsets according to their position coordinates in 2D resolution cells of the sensor. Simulation results show the effectiveness of the proposed method for time-varying multi-target tracking using raw observation data. 展开更多
关键词 adaptive particle sampling multi-target track-before-detect probability hypothesis density(PHD) filter sequential Monte Carlo(SMC) method
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基于相似性特征估计的目标跟踪算法研究 被引量:2
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作者 张博 刘刚 《激光与光电子学进展》 CSCD 北大核心 2020年第24期70-79,共10页
基于深度学习的目标跟踪算法将卷积深层输出结果作为特征,虽然准确度高但耗时长;基于融合特征的目标跟踪算法按照响应值融合目标特征,虽然跟踪速度快,但降低了准确度。为了兼顾目标跟踪算法的时效性和准确度,提出基于相似性特征估计的... 基于深度学习的目标跟踪算法将卷积深层输出结果作为特征,虽然准确度高但耗时长;基于融合特征的目标跟踪算法按照响应值融合目标特征,虽然跟踪速度快,但降低了准确度。为了兼顾目标跟踪算法的时效性和准确度,提出基于相似性特征估计的目标跟踪算法。首先利用重要性重采样滤波粒子构建目标观测模型,其中包括选择粒子状态、转移系统状态、构建观测模型、粒子权值更新以及重采样过程。在此基础上,提取目标的统计纹理特征、运动尺寸特征以及运动速度与方向特征,并融合目标特征构建目标特征框架。结合相似性特征估计完成目标定位,包括描述目标模型、表示候选模型、度量目标具体相似度以及目标定位过程。在完成目标定位后,基于实时压缩实现目标跟踪。本文算法的跟踪准确度均在90%以上,跟踪过程耗时保持在450ns以下,性能优于基于深度学习和融合特征的目标跟踪算法。本文算法能够快速、准确实现对目标的跟踪,应用优势较强。 展开更多
关键词 图像处理 相似性特征估计 目标跟踪算法 目标观测模型 预估均值 观测阈值
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Visible characteristics of space-based targets based on bidirectional reflection distribution function 被引量:3
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作者 WANG HongYuan ZHANG Wei WANG FuGang 《Science China(Technological Sciences)》 SCIE EI CAS 2012年第4期982-989,共8页
A precise modeling method of visible characteristics of the space-based target was presented based on bidirectional reflection distribution function (BRDF). The background characteristics of the space-based target wer... A precise modeling method of visible characteristics of the space-based target was presented based on bidirectional reflection distribution function (BRDF). The background characteristics of the space-based target were represented to build models of direct solar radiation and reflected radiation of the Earth based on blackbody radiation theory. The geometry characteristics of the target were analyzed to establish a surface equation of each surface based on its body coordinate system. The material characteristics of the target surface were described by introducing a BRDF model which considers the character of surface Gauss statistics and self-shadow and is obtained by measurement and modeling in advance. The relative positions of the space-based target, the background radiation sources and the observation platform were determined based on coordinate con- version to judge contributing surface of the target to observation system. Then a mathematical model on visible characteristics of the space target for the given optical system was built by summing reflection components of all the surfaces. Simulation of visible characteristics of the space-based target in orbit was achieved according to its given geometrical dimensions, physical parameters and orbital parameters. The results show that the method is effective for analysis on visible characteristics of the space-based target when single reflection is considered and its surface is regularly described in a surface equation, which provides a way to real-time calculation of visible characteristics of the space-based target. 展开更多
关键词 space optics space-based target visible characteristics bidirectional reflection distribution function (BRDF)
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