Title :
Partial grouping maximization likelihood algorithm for signal detection
Author :
Wang, Lei ; Li, Lei ; Zheng, Baoyu
Author_Institution :
Inst. of Signal Process. & Transm., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In this paper, a new algorithm for signal detection, namely partial grouping maximization likelihood algorithm, is proposed to achieve satisfactory performance with moderate computational complexity. The new algorithm is bawd on maximization likelihood principle and the idea of grouping, and the performance assessment shows that it is superior to the linear detector and ordinary grouping algorithm, and achieves a bit-error rate close to that of the optimum receiver.
Keywords :
computational complexity; error statistics; maximum likelihood estimation; signal detection; bit error rate; computational complexity; linear detector; optimum receiver; partial grouping maximization likelihood algorithm; signal detection; Cybernetics; Machine learning; Signal detection; Maximization likelihood; grouping; iterative detection; partial grouping maximization likelihood;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212553
