DocumentCode
1660540
Title
A simple Constant Modulus Algorithm for blind equalization suitable for 16-QAM signal
Author
Rao, Wei ; Yuan, Kang-min ; Guo, Ye-Cai ; Yang, Chao
Author_Institution
Nanchang Inst. of Technol., Nanchang
fYear
2008
Firstpage
1963
Lastpage
1966
Abstract
Blind equalization is a technique for adaptive equalization of a communication channel without the aid of training sequences. This paper proposes a simple blind equalization algorithm suitable for 16-QAM signal. In this proposed algorithm, we study a new style of error function of constant modulus algorithm (CMA) aiming at the character of 16-QAM signals constellation. By adjusting the coordinates of received signals this error function will become exactly zero when the channel is perfectly equalized. The superior performance of the proposed algorithm is illustrated for the 16-QAM signal constellation. Compared with CMA, the proposed algorithm has faster convergence rate and lower residual error. In the computer simulation, an underwater acoustic channel model is assumed as a transmission medium and the simulation results demonstrate that the significant improvements in performance is achieved with the proposed equalization algorithm.
Keywords
adaptive equalisers; blind equalisers; quadrature amplitude modulation; telecommunication channels; underwater acoustic communication; 16-QAM signal constellation; adaptive equalization; blind equalization; channel equalization; communication channel; constant modulus algorithm; error function; quadrature amplitude modulation; underwater acoustic channel model; Adaptive equalizers; Bandwidth; Blind equalizers; Chaotic communication; Computer errors; Computer simulation; Constellation diagram; Convergence; Information science; Underwater acoustics;
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.2008.4697528
Filename
4697528
Link To Document