Improved Chaos Optimization Method in the Fractional Fourier Transform

Author

Hongkai, Wei ; Pingbo, Wang ; Zhiming, Cai ; Yinfeng, Fu

Author_Institution

Navy Univ. of Eng., Wuhan, China

fYear

2010

fDate

9-10 Feb. 2010

Firstpage

94

Lastpage

98

Abstract

In order to overcome the inefficiency shortcoming of traditional step-based searching method for extremum seeking in two-dimensional fractional Fourier domain, the chaos optimization method is introduced and applied successfully in fractional Fourier transform. To accelerate the convergence further, two improved chaos optimization methods are proposed. The performances of the proposed optimization methods are verified by comparing with step-based method and other intelligent optimization methods such as genetic algorithms, continuous ant colony algorithm and particle swarm optimization based on simulation. Results show that the second presented chaos optimization algorithm is more preferable considering computation efficiency, precision and resolution.

Keywords

Fourier transforms; chaos; genetic algorithms; particle swarm optimisation; signal processing; ant colony optimisation; chaos optimization; extremum seeking; fractional Fourier transform; genetic algorithms; intelligent optimization; particle swarm optimisation; stationary signals; step-based searching method; Acceleration; Ant colony optimization; Chaos; Chaotic communication; Convergence; Fourier transforms; Genetic algorithms; Logistics; Optimization methods; Particle swarm optimization; chaos optimization algorithm; continuous ant colony algorithm; extremum seeking; fractional Fourier transform; genetic algorithms; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Acquisition and Processing, 2010. ICSAP '10. International Conference on

Conference_Location

Bangalore

Print_ISBN

978-1-4244-5724-3

Electronic_ISBN

978-1-4244-5725-0

Type

conf

DOI

10.1109/ICSAP.2010.80

Filename

5432666