Single-tone Frequency Tracking Using a Particle Filter with Improvement Strategies

摘要：

This paper investigates a robust method for extracting frequency online from a noisy sinusoidal signal. A nearly constant frequency (NCF) model, which is adapted from the target tracking discipline, is presented to describe the evolution of the time varying frequency. A particular particle filtering algorithm, called bootstrap filter, is improved with a Gaussian kernel based regularization and a Metropolis-Hastings based Markov Chain Monte Carlo (MCMC) technique, for solving this problem. Some representative scenarios are designed for tests. The results of the simulation using synthetic data show the proposed methods efficiency and superiority to some existing methods.

作者: Bin Liu Chunlin Ji Xiaochuan Ma Chaohuan Hou

作者单位: Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China Graduate University, Chi Department of Statistical Science, Duke University, Durham, NC 27708-0251, SA Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 1615-1619

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）