Adaptive Detection of Narrowband Signals Using Frequency-Transformation-Based Variable Digital Filters
نویسندگان
چکیده
This paper presents an application of variable infinite 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.
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