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