State-Space Kalman Adaptive IIR Notch Filter

摘要：

A second-order adaptive IIR notch filter based on state-space structure and discrete Kalman filtering (SKANF) is represented in this paper. It is well known that the state-space description not only provides a more detail explanation of the system characteristic compared to the input-output description but also has robustness to finite word-length effects. In addition, by using the discrete Kalman filtering, the fluctuation of an estimated parameter of the filter is reduced. Additonally, sinusoidal signal detection and FM signal demodulation are employed to evaluate the performance of the proposed filter compared to the conventional structure, the adaptive IIR notch filter (ANF) and state-space adaptive IIR notch filter (SANF). Based on the proposed structure, the computer simulation results confirm that the performance of the proposed filter has been improved over ANF and also is superior to SANF.

作者: Rachu Panchalard Jeerasuda Koseeyaporn Paramote Wardkein

作者单位: Department of Telecommunication Engineering Faculty of Engineering Mahanakorn University, Nong-chok Department of Telecommunication Engineering Faculty of Engineering King Mongkuts Institute of Techn

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 206-210

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）