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.
展开▼
机译：在正交频分复用（OFDM）系统中，时间和频域二维最小平均误差（2D-MMSE）信道估计是最佳的。然而，准确的渠道统计数据，通常在实践中是时变，不可用的，以实现它。在本文中，我们向OFDM系统提出了二维递归最小二乘（2D-RLS）自适应信道估计。 2D-RLS自适应信道估计不需要准确的信道统计，同时可以充分利用时变无线信道的频率响应的时间和频域相关性。 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.此外，通过对发射器天线的适当训练序列设计，可以将2D-RLS自适应信道估计应用于多个输入多输出（MIMO）OFDM系统。
展开▼
