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基于空频域信息的改进UKF算法研究
引用本文:曲长文,徐征,李炳荣,苏峰.基于空频域信息的改进UKF算法研究[J].电光与控制,2011,18(1):45-47,52.
作者姓名:曲长文  徐征  李炳荣  苏峰
作者单位:海军航空工程学院;
基金项目:国家自然科学基金项目(60902054); “泰山学者”建设工程专项经费资助
摘    要:固定单站无源定位系统面临着可观测性弱、初始误差大的问题,为了实现稳定高精度定位,在定位模型中引入角度变化率和多普勒频率变化率信息,并在此基础上提出了一种基于空频域信息的改进不敏卡尔曼滤波(UKF)算法.该算法利用两次观测时刻之间的间隔,根据当前时刻定位结果,通过后向平滑算法平滑估计前一时刻状态向量和协方差矩阵的估计值,...

关 键 词:无源定位  角度变化率  多普勒频率变化率  不敏卡尔曼滤波  后向平滑

Research on an Improved UKF Algorithm Based on Spatial-Frequency Domain Information
QU Changwen,XU Zheng,LI Bingrong,SU Feng.Research on an Improved UKF Algorithm Based on Spatial-Frequency Domain Information[J].Electronics Optics & Control,2011,18(1):45-47,52.
Authors:QU Changwen  XU Zheng  LI Bingrong  SU Feng
Affiliation:QU Changwen,XU Zheng,LI Bingrong,SU Feng (Department of Electronic and Information Engineering,NAAU,Yantai 264001,China)
Abstract:The single non-moving passive location system is confronted with problems as low observability and large initial error.In order to realize stable and high-precision passive locating by a single non-moving observer,the angle changing rate and Doppler changing rate information were introduced into the location model.An improved Unscented Kalman Filter(UKF) algorithm based on spatial-frequency domain information was presented.The proposed algorithm smoothed the previous state vector and covariance matrix by th...
Keywords:passive locating  angle changing rate  Doppler frequency changing rate  UKF  backward smoothing  
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