引用本文:陆诗远,颜钢锋,林澈,郑荣濠.并行卡尔曼滤波器的多信道序列规划算法[J].控制理论与应用,2017,34(1):33~40.[点击复制]
LU Shi-yuan,YAN Gang-feng,LIN Che,ZHENG Rong-hao.Improved multi-channel scheduling algorithm for parallel Kalman filters[J].Control Theory and Technology,2017,34(1):33~40.[点击复制]
并行卡尔曼滤波器的多信道序列规划算法
Improved multi-channel scheduling algorithm for parallel Kalman filters
摘要点击 2884  全文点击 2634  投稿时间：2016-05-26  修订日期：2016-09-14
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DOI编号  10.7641/CTA.2017.60350
  2017,34(1):33-40
中文关键词  卡尔曼滤波  并行估计  传感器规划  多信道
英文关键词  Kalman filter  parallel estimation  sensor scheduling  multi-channel
基金项目  浙江省自然科学基金(R13F030002)资助.
作者单位E-mail
陆诗远 浙江大学电气工程学院 lushiyuan@zju.edu.cn 
颜钢锋* 浙江大学电气工程学院 ygf@zju.edu.cn 
林澈 浙江大学电气工程学院  
郑荣濠 浙江大学电气工程学院  
中文摘要
      针对基于卡尔曼滤波器的并行序列规划问题, 本文提出了一种基于多信道的改进算法, 在规划各进程所对 应传感器的测量信息传输序列, 以使相应滤波器的状态估计误差协方差满足给定指标的同时, 尽可能减少通讯信道 占用. 文中论证了基于夹挤方法的周期算法, 以提高计算进程传输周期的效率; 改进了基于缓存的离线序列规划算 法, 以适应多信道传输的情景; 设计了在线序列调整算法, 利用空闲信道进行传输失败后的数据复发, 快速调整序列 以适应指标变化的需求. 算法的运行效果将通过仿真实验进行验证与分析.
英文摘要
      In this paper, an improved multi-channel algorithm is designed to schedule parallel processes of Kalman filters. The goal is to schedule the transmission of sensor measurements for all processes to meet individual estimation error requirements with the least communication channels occupied. Our algorithm includes the following methods: A fast cycle estimation method based on the squeeze method, which accelerates the search for transmission cycles significantly; An off-line schedule method based on the Buffer Scheme, which is suitable for scheduling transmissions with multiple communication channels; An on-line reschedule method, which utilizes idle channels against transmission losses and adjusts the transmission sequence quickly in case of process requirement changes. The effect of the algorithm is verified by simulations.