DocumentCode :
1649461
Title :
Orthogonal Wavelet Transform based Sign Decision Dual-mode blind equalization Algorithm
Author :
Guo, Ye-Cai ; Han, Ying-ge ; Yang, Chao
Author_Institution :
Nanjing Univ. of Inf. Sci. & Technol., Nanjing
fYear :
2008
Firstpage :
80
Lastpage :
83
Abstract :
Aiming at the slow convergence rate and the high mean square error of constant modulus algorithm(CMA), a new orthogonal wavelet transform based sign decision dual-mode blind equalization algorithm(WT-SDDA) is proposed. In the proposed algorithm, orthogonal wavelet transform based constant modulus algorithm (WT-CMA) is integrated with orthogonal wavelet transform based stop-and-go changeable modulus blind equalization algorithm (WT-SG-CMA), and the switch process is decided by the sign decision. Simulation tests with underwater acoustic channel shows that the proposed WT-SDDA algorithm outperforms the CMA and the WT-CMA in the convergence rates and residual mean square error and that it has the faster convergence rate than the WT-SG-CMA under condition of the same residual error.
Keywords :
blind equalisers; convergence; underwater acoustic communication; wavelet transforms; constant modulus algorithm; orthogonal wavelet transform; residual error; residual mean square error; sign decision dual-mode blind equalization algorithm; slow convergence rate; stop-and-go changeable modulus blind equalization algorithm; underwater acoustic channel; underwater acoustic communication; Adaptive equalizers; Blind equalizers; Convergence; Decision feedback equalizers; Mean square error methods; Quadrature amplitude modulation; Switches; Underwater acoustics; Underwater communication; Wavelet transforms; constant modulus algorithm; convergence rate; dual-mode; underwater acoustic channel; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697073
Filename :
4697073
Link To Document :
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