...多假设解距离模糊方法在模糊区间发生变化时会出现解距离模糊错误的现象,提出一种基于交互式多模型（interacting multiple model, IMM）的混合滤波解距离模糊方法。
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杂波环境中被动机动目标跟踪新方法 关键词：粒子滤波；机动目标跟踪；交互多模型 [gap=1114]Keywords: Particle Filtering; Manoeuvring Target Tracking; Interacting Multiple Model
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com豆丁网 踪的基础上,把Unscented卡尔曼滤波(Unscented Kalman filter,UKF)引进到交互多模型算法(Interacting multiple model,IMM)中,设计了交互多模型UKF滤波算法,克服了EKF中引入的较大线性化误差 对机动目标跟踪算法性能的影响..
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adaptive interacting multiple model algorithm 自适应交互多模型算法
Interacting Multiple Model-IMM 模型
interacting multiple model imm 交互式多模型
imm interacting multiple model 交互式多模型算法
adaptive interacting multiple model 自适应交互多模型算法
distributed interacting multiple model 分布式交互式多模型融合
An interacting multiple model (IMM) adaptive filtering algorithm based on expected system noise model was presented.
本文提出基于期望系统噪声模型的自适应交互式多模型(IMM)算法。
Focusing on the design of the model set for the interacting multiple model (IMM) algorithm, a model set design method is proposed.
针对交互式多模型(IMM)算法中模型集的设计问题，提出一种模型集设计方法。
In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
针对目标跟踪中的目标机动问题提出了一种“基于自适应相互作用多模型”的算法。
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