A Bayesian approach for nonlinear equalization and signal detection in millimeter-wave communications

IEEE Transactions on Wireless Communications

Volumn 14, Issue 7, 2015, Pages 3794-3809

  Li, Bin ^a   Zhao, Chenglin ^a   Sun, Mengwei ^a   Zhang, Haijun ^b   Zhou, Zheng ^a   Nallanathan, Arumugam ^c  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^c KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

5G Millimeter wave communications; Bayesian recursive approach; nonlinear equalization; nonlinear power amplifier; particle filtering; signal detection

Indexed keywords

BAYESIAN NETWORKS; DISTORTION (WAVES); IMPORTANCE SAMPLING; MILLIMETER WAVES; MONTE CARLO METHODS; MULTIPATH PROPAGATION; NONLINEAR DISTORTION; POWER AMPLIFIERS; PROBABILITY DISTRIBUTIONS; RADIO FREQUENCY AMPLIFIERS; SIGNAL FILTERING AND PREDICTION; SIGNAL PROCESSING; SIGNAL RECEIVERS;

MILLIMETER-WAVE COMMUNICATION; NONLINEAR EQUALIZATION; NONLINEAR POWER AMPLIFIERS; PARTICLE FILTERING; RECURSIVE APPROACH;

SIGNAL DETECTION;

EID: 84937117172     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2015.2412119     Document Type: Article

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