Title :
An Effective Global Optimization Algorithm for Wireless Mimo Channel Estimation
Author :
Tuan, H.D. ; Nguyen, Ha H. ; Tran, N.N. ; Nguyen, V.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
Abstract :
The problem of channel estimation for spatially correlated fading multiple-input multiple-output (MIMO) channels is considered. Based on the channel´s second order statistic, the minimum mean-square error (MMSE) channel estimator that works with the superimposed training signal is proposed. The problem of designing the optimal superimposed signal is then addressed and solved with an iterative global optimization algorithm. Simulation results show that our optimal design of the superimposed training signal leads to a significant reduction in channel estimation error when compared to the conventional design of time-multiplexing training.
Keywords :
MIMO communication; channel estimation; fading channels; mean square error methods; optimisation; statistical analysis; wireless sensor networks; channel estimation; fading channel; iterative global optimization algorithm; minimum mean-square error; multiple-input multiple-output channels; second order statistic; superimposed training signal; wireless MIMO; Algorithm design and analysis; Channel estimation; Design optimization; Fading; Iterative algorithms; MIMO; Receiving antennas; Signal design; Transmitters; Transmitting antennas; MIMO channel; channel estimation; global optimization; spatial correlation; training signal;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on
Conference_Location :
St. Thomas, VI
Print_ISBN :
978-1-4244-1713-1
Electronic_ISBN :
978-1-4244-1714-8
DOI :
10.1109/CAMSAP.2007.4498006
