Adaptive Detection of Narrowband Signals Using Frequency-Transformation-Based Variable Digital Filters

摘要：

This paper presents an application of variable in- finite impulse response (IIR) digital filters based on the Constantinides frequency transformation to adaptive filtering. We propose a new unified framework for adaptive detection of narrowband signals using variable band-stop IIR digital filters with arbitrary transfer functions. It is also shown that our proposed method includes the all-pass-based adaptive notch filters as a special case. A simulation example demonstrates the utility of our proposed method from the viewpoint of the signalto- noise ratio (SNR) improvement. This result shows that the Constantinides frequency transformation plays significant roles in not only the filter design, but also the adaptive signal processing.

作者: Shunsuke Koshita Yuki Kumamoto Masahide Abe Masayuki Kawamata

作者单位: Tohoku University, Sendai, Japan

会议类型: 国际会议

会议名称: 2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)

会议地点: 西安

会议语种:英文

页码: 1-4

在线出版日期: 2011-10-18（万方平台首次上网日期，不代表论文的发表时间）