WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 12, 2016
Design of IIR Filters with Reduced Group Delay Ripple via Particle Swarm Optimization
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Abstract: This paper presents a design method for infinite impulse response (IIR) filters with an approximately linear phase characteristic. The design problem of IIR digital filters is generally expressed as the minimization problem of the complex magnitude error which includes both the magnitude and phase information. However, the group delay response of the filter obtained by solving such design problem may be distant from the desired group delay. In this paper, the filter design problem is formulated as a magnitude error minimization problem having a maximum group delay error constraint and it is optimized using craziness based particle swarm optimization technique. As a result, the proposed method can design the IIR filters that satisfy the prespecified allowable errors of the group delay response. The usefulness of the proposed method is verified through some examples.
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Pages: 203-209
WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 12, 2016, Art. #24