【摘要】 导频辅助的信道估计方法是OFDM系统中应用最为广泛的一类信道估计方法,其中的2-D维纳滤波是最小均方误差意义下的最佳线性估计器,但是由于其计算量非常大,因而在实际中不能得到很好的应用。2×1-D的维纳滤波器利用信道相关函数的可分离性,对2-D维纳滤波器进行了简化,一定程度地降低了其复杂性,但仍然需要知道或估计信道的统计特性。文中介绍了一种基于非线性模型的信道估计方法,对其算法进行了仿真并与2×1-D维纳滤波的误比特率(BER)性能进行了比较。仿真结果表明,此方法能以较低的复杂性达到与2×1-D维纳滤波相近的性能,且无需对信道特性估计,是一种较实用的信道估计方法。更多还原

【Abstract】 Pilot_assisted channel estimation methods are widely used in OFDM systems.2-D Wiener filter is the optimal linear estimator in the sense of minimizing mean_square error.But its complexity prevents its wide application 2×1-D. Wiener filter simplifies the 2-D Wiener filter by exploiting the separability of channel correlation and reduces its complexity to a certain extent,but it still have to know or estimate the channel statistics.In this paper,a nonlinear model_based channel estimation method is introduced and simulated.Comparisons with 2×1-D Wiener filter in bit error rate are also presented.Simulation results indicate its performance is close to the 2×1-D Wiener filter with relatively low complexity without estimating the channel statistics,so it can be used in practice.更多还原