搜索资源列表
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机动目标跟踪，交互式多模型算法，“当前”统计模型-Maneuvering target tracking, interacting multiple model algorithm, " current" statistical model
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GPS定位采用UKF滤波方式。包括调用的数据dat文件（选用卫星数据和机动目标运行轨迹数据）和调用的sigma点生成子程序。运行可观察定位误差（位置、速度和加速度）-GPS positioning using UKF filtering method. The data include call dat file (optional operation of satellite data and maneuvering target trajectory data) and the sigma
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基于卡尔曼滤波和粒子滤波的简单比较，用于高机动目标时时定位，以减少精度损失来换取目标跟踪定位时时性。-Relatively simple Kalman filter and particle filter-based positioning for high maneuvering targets time to time, in order to reduce the loss of precision target tracking in exchange for sex time to
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用matlab实现的机动目标识别的卡尔曼滤波算法 singer算法。-Maneuvering Target with matlab realize the identified Kalman filter algorithm singer.
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比例导引法跟踪做简单正弦机动目标的制导模型-Proportional navigation guidance tracks do simple sinusoidal model maneuvering target
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目标跟踪的一种机动模型算法——当前jerk模型，把当前的思想运用到jerk模型中。(A maneuvering model algorithm for target tracking - the current jerk model that applies current ideas to the jerk model.)
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BTT导弹的三自由度拦截机动目标仿真，考虑导弹的动力学特性(Simulation of three degree of freedom interception maneuvering target for BTT missile)
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