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关于被动测距的一篇论文，我认为是一种实用的方法，很不容易找回来的，希望大家喜欢！-By using of stored digital
terrain data, the target’s location can be calculated. The digital terrain aided passive target tracking algorithm consists o f
the LOS intersection algorithm and the Kalman
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这是用于目标跟踪的粒子滤波代码，
用matlab编写的，很有借鉴性，一维情况下，
非高斯非线性，其中将扩展卡尔曼滤波与粒子滤波进行比较，更好的说明了粒子滤波的优越性-This is a particle filter for target tracking code using matlab, referential nature, one-dimensional case, the non-Gaussian non-linear, which will be extended Kalm
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用于目标跟踪的粒子滤波代码，
用matlab编写的，很有借鉴性，一维情况下，非高斯非线性，其中将扩展卡尔曼滤波与粒子滤波进行比较，更好的说明了粒子滤波的优越性-Particle filter for target tracking code, using matlab prepared very useful reference resistance, the one-dimensional case, the non-Gaussian nonlinear, which will be ex
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在主/被动雷达双传感器目标跟踪背景下, 提出一种基于IMM- UKF 滤波的加权数据融合算法。-A data fusion algorithm using IMM-UKF is presented based on active/ passive radar target tracking. The algorithm is established in terms of IMM( interact ing mult iple model) and UKF( unscented Kalman f
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三维目标下用扩展卡尔曼滤波对非线性系统的目标进行跟踪-By three-dimensional object using the extended Kalman filter for target tracking nonlinear systems
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交互多模滤波器 利用马尔科夫链对多种测量模型分别进行卡尔曼滤波 并利用转移概率对滤波结果进行加权 适用于机动目标跟踪和低空多径噪声下的高度测量-IMM filter Markov chain model for a variety of measurements were Kalman filter and using the filtered result of the transition probability weighting applicable at low altitude ma
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包含CV、CA、Single、当前、恒转弯速率、转弯模型，现代信号处理中谱估计在matlab中的使用，IMC-PID是利用内模控制原理来对PID参数进行计算，使用matlab实现智能预测控制算法，多目标跟踪的粒子滤波器，各种kalman滤波器的设计。-It contains CV, CA, Single, current, constant turn rate, turning model, Modern signal processing used in the spectral estima
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随机调制信号下的模拟ppm，最终的权值矩阵就是滤波器的系数，采用了小波去噪的思想，调试通过可以使用，多目标跟踪的粒子滤波器，各种kalman滤波器的设计，正确率可以达到98％。- Random ppm modulated analog signal under The final weight matrix is ??the filter coefficient, Using wavelet denoising thought, Debugging can be used, Multi-targ
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采用最近临近法，结合卡尔曼滤波，进行目标跟踪，但是不能在杂波环境下(Using the recent approach, combined with Kalman filter, the target tracking, but not in the clutter environment)
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用控制台界面显示图片，里面rgb的每个像素并且拆分，然后在控制台一个个的显示出来(Using the recent approach, combined with Kalman filter, the target tracking, but not in the clutter environment)
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Using the recent approach, combined with Kalman filter, the target tracking, but not in the clutter environment
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MN逻辑法用于航迹起始，演示程序包括杂波环境下，整个跟踪全过程(Using the recent approach, combined with Kalman filter, the target tracking, but not in the clutter environment)
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