An RLS-Based Lattice-Form Complex Adaptive Notch Filter

This letter presents a new lattice-form complex adaptive IIR notch filter to estimate and track the frequency of a complex sinusoid signal. The IIR filter is a cascade of a direct-form all-pole prefilter and an adaptive lattice-form all-zero filter. A complex domain exponentially weighted recursive...

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Bibliographic Details
Published in:	IEEE signal processing letters Vol. 23; no. 2; pp. 217 - 221
Main Authors:	Zhu, Rui, Yang, Feiran, Yang, Jun
Format:	Journal Article
Language:	English
Published:	IEEE 01.02.2016
Subjects:	Adaptive notch filter Algorithm design and analysis asymptotic bias Convergence Cost function exponentially weighted recursive least square Frequency estimation frequency tracking Lattices Least squares approximations Signal processing algorithms
ISSN:	1070-9908, 1558-2361
Online Access:	Get full text
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Summary:	This letter presents a new lattice-form complex adaptive IIR notch filter to estimate and track the frequency of a complex sinusoid signal. The IIR filter is a cascade of a direct-form all-pole prefilter and an adaptive lattice-form all-zero filter. A complex domain exponentially weighted recursive least square algorithm is adopted instead of the widely used least mean square algorithm to increase the convergence rate. The convergence property of this algorithm is investigated, and an expression for the steady-state asymptotic bias is derived. Analysis results indicate that the frequency estimate for a single complex sinusoid is unbiased. Simulation results demonstrate that the proposed method achieves faster convergence and better tracking performance than all traditional algorithms.
ISSN:	1070-9908 1558-2361
DOI:	10.1109/LSP.2015.2509007