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粒子滤波器指南,学习粒子滤波器的基础文章,英文版a-tutorial-on-particle-particle filter guide, learning the basis of particle filter articles, English a-tutorial-on-particle
Date : 2026-01-01 Size : 274kb User : liushan

基于数据融合技术的多目标跟踪算法研究(Kalman, Imm.etc)-Motion image sequences of multi-target tracking and implementation
Date : 2026-01-01 Size : 142kb User : jpj

DL : 0
基于IMM-IME输入法接口的实现方法,该文介绍了IMM-IME 的构成部件、工作原理及输入法编辑器的具体实现步骤。-input method implement based on IMM-IME
Date : 2026-01-01 Size : 221kb User : 蔡衡毅

自适应网格多模交互算法的提出及仿真,仿真环境为matlab。 -Adaptive Grid Interacting Multiple Mode
Date : 2026-01-01 Size : 682kb User : 沙哥

DL : 0
IMM Estimator for Ground Target Tracking with Variable Measurement Sampling Intervals-IMM Estimator for Ground Target Tracking with Variable Measurement Sampling Intervals
Date : 2026-01-01 Size : 225kb User : mohamed_iap_85

一篇关于目标跟踪的文献,基于交互多模型目标跟踪。-A literature on target tracking, based on the interacting multiple model target tracking.
Date : 2026-01-01 Size : 241kb User : 朱华国

DL : 0
多模型方法是一种混合估计方法,相对于传统的估计方法而言(例如 Kalman 滤波) , 它特别适合于具有未知变参 数或变结构系统的研究, 因而在许多领域得到了成功应用。回顾了多模型方法的发展过程, 对现有各种多模型估计方法进行 了总结, 并提出了研究方向-Mult iple-model ( MM ) est imatio n is a cost- effect ive hybrid est imat io n metho d, w hich is part icularly suitable to the estimat ion of tho se systems w hose str uctures as w ell as parameters are unknow n or changable and is successfully applied in many fields. This paper o verview s the development pr ocess of the MM metho ds, summarizes the ex ist ing MM methods, and at last discusses the pr oblems study orientat ion
Date : 2026-01-01 Size : 195kb User : 张成宝

DL : 0
交互式多模型的雷达跟踪算法研究理论知识,介绍了滤波算法的发展、现状,以及运动模型-Interactive multi-model radar tracking the algorithm theoretical knowledge, and introduce a filtering algorithm development, current status, and the motion model
Date : 2026-01-01 Size : 2.85mb User : 徐小铃

DL : 0
这是一篇有关交互多模型算法的论文,该论文详细介绍了交互多模型算法中模型集的选择,建模和滤波器算法的选择,交互多模型算法对滤波器的选择有很大的灵活性。-This is an interactive multiple model algorithm on paper, the paper details the interacting multiple model algorithm model set selection, modeling and filter algorithm selection, interacting multiple model algorithm filters have great flexibility in the choice of sex.
Date : 2026-01-01 Size : 977kb User : 张凤云

In this paper, tracking a manoeuvring target with a phased array is considered. A new algorithm, called the Adaptive Multi Rate Interacting Multiple models (AMRIMM) algorithm is presented. The AMRIMM algorithm adds to the MRIMM the ability to select the next update time adaptively, according to the motion of target. In this algorithm, the manoeuvring model operates at full rate, while the non manoeuvring model operates at half rate. A discrete wavelet transform is used to solve the problem raised by the difference in the update rate between the two models. The performances of the AMRIMM algorithm are compared to that of the MRIMM algorithm and the IMM algorithm that use a fixed update time, via Monte Carlo simulations.
Date : 2026-01-01 Size : 1.45mb User : jorgehas
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