An Improved IMM Estimator Combined with Intelligent Input Estimation Technique for Tracking Maneuvering Target
學年 103
學期 2
出版（發表）日期 2015-05-01
作品名稱 An Improved IMM Estimator Combined with Intelligent Input Estimation Technique for Tracking Maneuvering Target
作品名稱（其他語言）
著者 Yi Wei Chen; Yung Lung Lee
單位
出版者
著錄名稱、卷期、頁數 Applied Mechanics and Materials 764–765, p. 664–670
摘要 The estimation performance of interactive multiple model (IMM) estimator for tracking a maneuvering target is influenced by the target motion models and application of filters. An improved IMM estimation algorithm combined with the intelligent input estimation technique is proposed in this study. The target motion models include the constant velocity (CV) model and the modified Singer acceleration model. The intelligent fuzzy weighted input estimation (IFWIE) is used to compute the acceleration input for the modified Singer acceleration model besides the application of standard Kalman filter (KF). The combination of KF and IFWIE can estimate the target motion state precisely and the proposed method is compared with the common IMM estimator. The simulation results prove the improved IMM estimator has superior estimation performance than the common IMM estimator, especially when the target changes the acceleration violently. The utilization of IFWIE for the improved IMM estimator can estimate the acceleration input effectively.
關鍵字 Fuzzy; IMM; Input Estimation; Kalman Filter; Maneuvering Target
語言 en
ISSN
期刊性質 國外
收錄於 EI
產學合作
通訊作者 Yi-Wei Chen
審稿制度 否
國別 CHE
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/129900 )