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

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.