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A first-order statistical method for time-variant MIMO channel estimation

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2 Author(s)
Jun Tao ; Dept. of Radio Eng., Southeast Univ., Nanjing, China ; Luxi Yang

We propose a superimposed periodic pilot scheme for time-variant channel estimation of a multiinput and multioutput (MIMO) system. As a premise, the time-varying channel is assumed to follow a complex exponential basis expansion model. Estimation of such channel can be achieved only with a simple first-order statistics, and especially, mean-value uncertainty of additional noise is ignorable as is different from traditional method. Also, there is no loss of information rate except for a controllable increase in transmission power. Further, the problem of high peak-to-average symbol power ratio caused by superimposed pilot is also addressed. A detailed analysis is given. At last, numerical simulations demonstrate the effectiveness of this proposed method.

Published in:

Signal Processing Advances in Wireless Communications, 2004 IEEE 5th Workshop on

Date of Conference:

11-14 July 2004