A novel particle filter-based digital phase-locked loop robust against quantization error

详细信息    查看全文

• 作者：Jun Ho Chung ; Sung Hyun You ; Jung Min Pak…
• 关键词：Digital phase locked ; loop ; particle filter ; estimation ; quantization error
• 刊名：International Journal of Control, Automation and Systems
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：15
• 期：1
• 页码：457-461
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Control, Robotics, Mechatronics;
• 出版者：Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
• ISSN：2005-4092
• 卷排序：15

文摘

Using digital phase-locked loops (DPLL) is an efficient way of estimating phase information. To obtain accurate phase information, the Kalman filter (KF) has become a powerful tool in many applications. In digital systems, the DPLL measurement is transformed into a quantized measurement. During this process, missing measurement information, known as quantization errors, certainly occurs. However, quantization errors are an inevitable problem in digital system implementation, where the KF-based DPLL (KFDPLL) may show poor estimation performance. In order to estimate accurate phase information in the presence of quantization errors, we propose a particle filter-based DPLL (PFDPLL) to overcome the poor performance of the KFDPLL. Through numerical examples, we show that the PFDPLL is more robust against quantization errors than the KFDPLL.