物理学报2011，Vol.60Issue(11)：812-818,7.
扩展卡尔曼滤波和不敏卡尔曼滤波在实时雷达回波反演大气波导中的应用
Tracking refractivity from radar clutter using extended Kalman filter and unscented Kalman filter
摘要
Abstract
Since the traditional statistical and physical algorithms in the inversion of refractivity from radar clutter （RFC） cannot track omni directions in real time,a new filter algorithm （extended Kalman filter and unscented Kalman filter） is proposed.The parameter equation of atmospheric duct,observation operator,state equation of filter arithmetic are derived separately.Finally,the implementation of the iterative inversion filter algorithm is derived.On the theoretical basis,two algorithms above are tested separately with or without considering the variation of refractivity with time.The experimental result indicates that unscented Kalman filter is suited to solve the nonlinear inversion problem,which has significance in theoretical foundation and technological support for practical applications for the future.关键词
大气波导/雷达回波/扩展卡尔曼滤波/不敏卡尔曼滤波Key words
atmospheric ducts/radar clutter/extended Kalman filter（EKF）/unscented Kalman filter （UKF）分类
信息技术与安全科学引用本文复制引用
盛峥..扩展卡尔曼滤波和不敏卡尔曼滤波在实时雷达回波反演大气波导中的应用[J].物理学报,2011,60(11):812-818,7.基金项目
国家自然科学基金 （）
江苏省自然科学基金 （）
南京信息工程大学气象灾害省部共建教育部重点实验室开放课题 （）
解放军理工大学气象学院博士科研启动基金、解放军理工大学气象学院基础理论研究基金和解放军理工大学科研基金资助的课题~~ （）
