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.

Key words: WTCMA, double-stranded DNA, Tabu search strategy, convergence rate, mean square error