Title :
Blind channel tracking in cooperative MIMO
Author :
Yan, Zhen-ya ; Zheng, Bao-yu ; Cui, Jing-wu
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing
fDate :
Nov. 28 2007-Dec. 1 2007
Abstract :
Application of sequential quasi Monte Carlo (SQMC) to blind channel tracking in cooperative Multiple-input multiple-output (MIMO) system is proposed in this paper, which doesn´t need to transmit training symbol and can save power and wireless bandwidth. Additionally, an improved version of SQMC algorithm by taking advantage of current received signal is proposed. As will be shown through simulations, SQMC method reaches better performance than Sequential Monte Carlo (SMC) methods, and incorporation of current received signal improves performance of SQMC obviously.
Keywords :
MIMO communication; Monte Carlo methods; bandwidth allocation; tracking; wireless channels; blind channel tracking; cooperative MIMO; current received signal; multiple-input multiple-output system; sequential quasi Monte Carlo; wireless bandwidth; Bandwidth; Channel estimation; Energy consumption; Filters; MIMO; Monte Carlo methods; Signal processing; Sliding mode control; Transmitting antennas; Wireless sensor networks; SQMC; Sensor network; cooperative MIMO;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
DOI :
10.1109/ISPACS.2007.4445948
