4G MIMO OFDM系统中RLS和VSS-LMS信道估计技术的性能分析

Moinul Hossain, S. Farhad, M. Riasat
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引用次数: 8

摘要

本文研究了多输入多输出(MIMO)正交频分复用(OFDM)系统中的递推最小平方(RLS)和变步长最小均值(VSS-LMS)平方自适应信道估计方法。这两种技术都使用自适应估计器,能够连续更新估计器的参数,因此不需要了解信道和噪声统计信息,只需要了解接收信号。仿真结果表明,对于MIMO OFDM系统,RLS CE方法在快速收敛速度方面优于VSS-LMS CE方法。此外,在发射器和/或接收器上使用更多的多个天线,与较少的天线相比,提供了更高的性能。
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Performance analysis of RLS and VSS-LMS channel estimation techniques for 4G MIMO OFDM systems
In this paper recursive least (RLS) square and variable step size least mean (VSS-LMS) square adaptive channel estimator are described for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) system. Both the techniques uses adaptive estimator which are capable of updating the parameters of estimator continuously and therefore knowledge of channel and noise statistics are not necessary, only knowledge of receive signal is required. From the simulation result it is observed that RLS CE method works better in terms of quick convergence rate than VSS-LMS CE for MIMO OFDM system. In addition, the utilization of more multiple antennas at the transmitter and/or receiver provides a much higher performance compared with fewer antennas.
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