DocumentCode :
2950059
Title :
Concurrent blind equalization suitable for 16-QAM signal
Author :
Rao, Wei ; Tan, Wen-qun ; Li, Da-she ; Dai, Guo-xing ; Xia, Fei ; Fan, Li ; Liu, Jian-bing ; Xu, Hui-jun
Author_Institution :
Dept. of Electr. & Electron. Eng., Nanchang Inst. of Technol., Nanchang, China
fYear :
2009
fDate :
13-15 Nov. 2009
Firstpage :
1
Lastpage :
5
Abstract :
A new concurrent scheme for blind equalization suitable for 16-QAM signal is proposed. It combines modified modulus algorithm (MCMA) and modified decision directed (MDD) algorithm. By exploiting the inherent structural relationship between the 4-QAM signal´s coordinates and 16-QAM signals´ coordinates, another style of cost function for constant modulus algorithm (CMA) is defined, and we have proved that MCMA with such cost function outperforms the conventional CMA considerably. Unfortunately, MCMA has the same inherent defect as CMA which is that it is not sensitivity for phase offset of received signals. So when it occurs, the performance of MCMA will be impaired and even MCMA cannot work. Accordingly for overcoming the shortcomings of MCMA we introduce the decision directed (DD) algorithm, and modify it with the same method as MCMA. Consequently the new concurrent blind equalization with MCMA and MDD is proposed. Simulation results with underwater acoustic channel model show that the proposed algorithm achieves satisfactory performance.
Keywords :
blind equalisers; quadrature amplitude modulation; 16-QAM signal; concurrent blind equalization; constant modulus algorithm; cost function; modified decision directed algorithm; phase offset; quadrature amplitude modulation; Blind equalizers; Communication channels; Convergence; Cost function; Decision feedback equalizers; Mean square error methods; Noise robustness; Quadrature phase shift keying; Steady-state; Underwater acoustics; concurrent blind equalization; constant modulus algorithm; decision directed algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4856-2
Electronic_ISBN :
978-1-4244-5668-0
Type :
conf
DOI :
10.1109/WCSP.2009.5371529
Filename :
5371529
Link To Document :
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