Journal of System Simulation
Abstract
Abstract: Aiming at disadvantages of orthogonal wavelet transform constant modulus blind equalization algorithm (WTCMA), such as slower convergence rate, larger mean square error, and immerging in partial minimum easily, an orthogonal wavelet transform blind equalization algorithm based on Tabu search strategy and adaptive double-stranded DNA genetic algorithm (TD-DNAGA-WTCMA) was proposed. DNA populations were initialized by using double-stranded DNA form, to select the single-stranded DNA sequences whose fitness value are largest as the representative strands of the double-stranded individuals. In order to ensure different paths which ccould be searched and escaped from local optimum, Tabu search strategy was introduced into crossover operations. The dynamic probability of crossover operations was used to speed up the convergence rate and overcome the shortcoming of premature convergence. Computer simulations show that the proposed algorithm has faster convergence speed and smaller mean square error.
Recommended Citation
Guo, Yecai; Zhang, Jieru; and Zhang, Binglong
(2020)
"Orthogonal Wavelet Transform Blind Equalization Algorithm Based on Tabu Search and Double-stranded DNA Computimg,"
Journal of System Simulation: Vol. 29:
Iss.
1, Article 4.
DOI: 10.16182/j.issn1004731x.joss.201701004
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/4
First Page
21
Revised Date
2015-08-11
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201701004
Last Page
26
CLC
TN911.7;TH701
Recommended Citation
Guo Yecai, Zhang Jieru, Zhang Binglong. Orthogonal Wavelet Transform Blind Equalization Algorithm Based on Tabu Search and Double-stranded DNA Computimg[J]. Journal of System Simulation, 2017, 29(1): 21-26.
DOI
10.16182/j.issn1004731x.joss.201701004
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