State-space Kalman adaptive IIR notch filter

被引：4
|
作者：
Panchalard, Rachu [1 ]
Koseeyaporn, Jeerasuda [2 ]
Wardkein, Pararnote [2 ]
机构：
[1] Mahanakorn Univ, Dept Telecommun Engn, Fac Engn, Bangkok 10530, Thailand
[2] King Mongkuts Inst Technol Ladkrabang, Fac Engn, Dept Telecommun Engn, Bangkok 10520, Thailand
来源：
2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年
关键词：
D O I：
10.1109/ICCCAS.2006.284619
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：206 / +
页数：2
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