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Application of interacting multi-model algorithm in gyro signal processing
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作者 王萌 Wang Xiaofeng +2 位作者 Zhang He Lu Jianshan Zhang Aijun 《High Technology Letters》 EI CAS 2014年第4期436-441,共6页
There is one problem existing in gyroscope signal processing,which is that single models can' t adapt to change of carrier maneuvering process.Since it is difficult to identify the angular motion state of gyroscope c... There is one problem existing in gyroscope signal processing,which is that single models can' t adapt to change of carrier maneuvering process.Since it is difficult to identify the angular motion state of gyroscope carriers,interacting multiple model (IMM) is employed here to solve the problem.The Kalman filter-based IMM (IMMKF) algorithm is explained in detail and its application in gyro signal processing is introduced.And with the help of the Singer model,the system model set of gyro outputs is constructed.In order to demonstrate the effectiveness of the proposed approach,static experiment and dynamic experiment are carried out respectively.Simulation analysis results indicate that the IMMKF algorithm is excellent in eliminating gyro drift errors,which could adapt to the change of carrier maneuvering process well. 展开更多
关键词 GYRO interacting multiple model (IMM) Kalman filter singer model signal processing
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分块多特征目标描述子的移动机器人目标跟踪 被引量:8
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作者 王丽佳 贾松敏 +1 位作者 李秀智 卢迎彬 《控制与决策》 EI CSCD 北大核心 2016年第2期337-342,共6页
为解决机器人目标跟踪过程中的遮挡和外观改变等问题,提出一种分块多特征描述子的方法.该方法将候选样本分块,提取图像片的深度、颜色、纹理特征来表示目标构造检测器.结合目标与机器人的运动构造运动卡尔曼滤波器(MEKF)作为跟踪器.跟... 为解决机器人目标跟踪过程中的遮挡和外观改变等问题,提出一种分块多特征描述子的方法.该方法将候选样本分块,提取图像片的深度、颜色、纹理特征来表示目标构造检测器.结合目标与机器人的运动构造运动卡尔曼滤波器(MEKF)作为跟踪器.跟踪过程中根据目标深度信息调整其尺寸,结合深度特征及图像片外观相似度进行检测并处理遮挡.实验结果表明,该算法对目标的尺度变化、光照改变和遮挡现象具有较强的鲁棒性. 展开更多
关键词 目标跟踪 分块多特征描述子 运动卡尔曼滤波器 深度直方图
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