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.