Blind channel tracking in cooperative MIMO

Author

Yan, Zhen-ya ; Zheng, Bao-yu ; Cui, Jing-wu

Author_Institution

Nanjing Univ. of Posts & Telecommun., Nanjing

fYear

2007

fDate

Nov. 28 2007-Dec. 1 2007

Firstpage

558

Lastpage

561

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISPACS.2007.4445948

Filename

4445948