Two-Dimensional Recursive Least Square Adaptive Channel Estimation for OFDM Systems
In orthogonal frequency division multiplexing (OFDM) system, time- and frequency-domain two-dimensional minimum mean square error (2D-MMSE) channel estimation is optimum. However, accurate channel statistics, which are often time-varying and unavailable in practice, are required to realize it. In this paper, we propose two-dimensional recursive least square (2D-RLS) adaptive channel estimation for OFDM system. 2D-RLS adaptive channel estimation does not require accurate channel statistics, and at the same time can make full use of time-and frequency-domain correlations of the frequency response of time-varying wireless channels. With properly chosen parameters, 2D-RLS adaptive channel estimation can converge into the steady state in only several OFDM symbols time.Computer simulations demonstrate that 2D-RLS adaptive channel estimation is very effective and suitable for a broad range of channel conditions. Furthermore, with proper training sequences design on transmitter antennas, 2D-RLS adaptive channel estimation can be applied to multiple inputs multiple outputs (MIMO) OFDM system.
OFDM channel estimation 2D-MMSE 2D-RLS MIMO
Xiaolin Hou Shubo Li Changchuan Yin Guangxin Yue
School of Telecommunications Engineering Beijing University of Posts and Telecommunications Beijing, China
国际会议
武汉
英文
232-236
2005-09-23（万方平台首次上网日期，不代表论文的发表时间）