高庆华

个人信息Personal Information

教授级高工

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:控制科学与工程学院

电子邮箱:qhgao@dlut.edu.cn

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基于信号特征序列的粒子滤波跟踪算法

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发表时间:2022-10-10

发表刊物:电子学报

期号:10

页面范围:2297-2301

ISSN号:0372-2112

摘要:In order to realize accurate tracking task with wireless sensor network, a signal character sequence particle filter algorithm is proposed which is generic and compatible with different physical layers. The signal character sequences are used to translate the signal from the physical layer to the abstract layer and realize the update of the particle weights. To overcome the degeneration and impoverishment problems of the classical particle filter algorithm, trace prediction, cross operation and resample method are proposed to sample particles from the posterior distribution. In addition to the basic algorithm, multidimensional filtering is also adopted to deal with the noise. Simulation results show the effectiveness of the improvement measures of the algorithm.

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