Radome Slope Estimation in Flight Using Fuzzy Adaptive Multiple Model for Active Homing Missile

摘要：

For homing missile guidance system in there dimensional engagement scenarios, a new filter structure using fuzzy adaptive multiple model (FAMM) algorithm, based on extended Kalman filter (EKF), for estimating both the radome slope and guidance information is proposed to reduce the influence induced by radome and enhance the system performance. The radome slopes are modeled as a series of possible configurations which the multiple model algorithm is used to get the model match degree based on. The new filtering algorithm includes a fuzzy inference system which adjusted the adome slope model on line to reduce the error of estimation. Simulation results indicate that the proposed filter structure can estimate the radome slope availably and improve the guidance system performance.

关键词： radome estimation multiple model eztended Kalman filter fuzzy inference.

作者: Xiaorui Cao Chaoyang Dong Qing Wang Yu Chen

作者单位: School of Automation Science and Electrical Engineering,Beihang University Xueyuan Road 37,Haidian D School of Aeronautical Science and Engineering,Beihang University Xueyuan Road 37,Haidian District,1

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4245-4250

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）