An Avoidance of Local Minimum Stagnation in IIR Filter Design Using PSO

Yuji NISHIMURA  Kenji SUYAMA  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E98-A   No.7   pp.1544-1548
Publication Date: 2015/07/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E98.A.1544
Type of Manuscript: LETTER
Category: Digital Signal Processing
Keyword: 
IIR filter,  PSO,  stochastic optimization,  

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Summary: 
In this paper, a design method for the infinite impulse response (IIR) filters using the particle swarm optimization (PSO) is developed. It is well-known that the updating in the PSO tends to stagnate around local minimums due to a strong search directivity. Recently, the asynchronous digenetic PSO with nonlinear dissipative term (N-AD-PSO) has been proposed as a purpose for a diverse search. Therefore, it can be expected that the stagnation can be avoided by the N-AD-PSO. However, there is no report that the N-AD-PSO has been applied to any realistic problems. In this paper, the N-AD-PSO is applied for the IIR filter design. Several examples are shown to clarify the effectiveness and the drawback of the proposed method.