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于 2011-12-17 发布 文件大小:36KB
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  • shujuguanlian
    数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法,它 认为量测和目标是一一对应的关联关系,但在许多实际情况中,量测和目标是多一多对应的关系。针对上述情况,该文提 出了广义概率数据关联算法(Generalized Probability Data Association,GPDA)。文中从理论上对这两种算法的性能进行了 详细分析,并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking.And JPDA is considered as the best da· ta association method.JPDA considers the association of measurements with targets is simply one-to-one problem.But in many practical cases,the association of measurements with targets will be multiple—to—multiple problem.For this case,a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper.Furthermore,this paper analyzes the performance of these two algorithms theoretically.And we give the comparative analysis of those performances by using Monte Carlo method.)
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    增广最小二乘法的程序,通过程序可以明确原理。适应性好~(Least squares procedures augmented by the program can clear principles. Adaptability ~)
    2011-10-12 17:07:52下载
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    设计一个阻带下限0.45*pi 阻带上限0.8*pi 通带下限0.55*pi 阻带上限0.7*pi 通带衰减0.15dB,阻带衰减40dB,分别用汉宁窗汉明窗凯瑟窗布莱克曼窗设计滤波器,对比分析各方法优劣(Design a stop-band limit 0.45* pi stopband limit 0.8* pi Passband lower limit 0.55* pi stopband limit 0.7* pi Passband attenuation 0.15dB, stop-band attenuation of 40dB, respectively Hanning Hamming window Kaiser window Blackman window filter design, comparative analysis of the pros and cons of each method)
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    2021-03-16 22:19:21下载
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    2010-07-24 13:09:17下载
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