Robust extended Kalman filtering 论文

1999IEEE Transactions on Signal Processing引用 393
Advanced Adaptive Filtering TechniquesTarget Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

详细信息

发表期刊/会议
IEEE Transactions on Signal Processing
发表日期
1999-01-01
发表年份
1999

关键词

Advanced Adaptive Filtering TechniquesTarget Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

摘要

Linearization errors inherent in the specification of an extended Kalman filter (EKF) can severely degrade its performance. This correspondence presents a new approach to the robust design of a discrete-time EKF by application of the robust linear design methods based on the H/sub /spl infin// norm minimization criterion. The results of simulations are presented to demonstrate an advantage for signal demodulation and nonlinear equalization applications.