Title :
Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection
Author :
Gao, Yuliang ; Lau, Alan Pak Tao ; Lu, Chao ; Wu, Jian ; Li, Yan ; Xu, Kun ; Li, Wei ; Lin, Jintong
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
Abstract :
A feedforward carrier phase estimation algorithm using a modified QPSK partition approach followed by maximum-likelihood (ML) detection is proposed. Results demonstrate complexity reduction by more than a factor of 2 compared with other techniques.
Keywords :
maximum likelihood detection; phase estimation; quadrature amplitude modulation; quadrature phase shift keying; QAM systems; QPSK partitioning; feedforward carrier phase estimation; maximum likelihood detection; modified QPSK partition; Complexity theory; Maximum likelihood estimation; Optical noise; Partitioning algorithms; Phase estimation; Phase shift keying; Signal to noise ratio;
Conference_Titel :
Optical Fiber Communication Conference and Exposition (OFC/NFOEC), 2011 and the National Fiber Optic Engineers Conference
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4577-0213-6