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首页> 外文期刊>The mediterranean journal of electronics and communications >Channel Estimation Performance with RLS and SU-RLS Algorithms for VBLAST MIMO-OFDM Systems
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Channel Estimation Performance with RLS and SU-RLS Algorithms for VBLAST MIMO-OFDM Systems

机译：VBLAST MIMO-OFDM系统的RLS和SU-RLS算法的信道估计性能

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摘要

Spectral efficiency and high transmission data rate are necessary for future wireless communications systems. MIMO-OFDM (multiple input multiple output-orthogonal frequency division multiple access) system can provide high capacity over rich scattering channel. However, the channel conditions must be estimated since perfect channel knowledge is never known a priori. System performance depends on the quality of channel estimate, and the number of pilot symbols. We propose RLS (recursive list square) and SU-RLS (subsampled recursive least square) algorithms for the MIMO VBLAST-OFDM systems; these algorithms are based on the recursive least square, with pilot channel estimation (PCE) and zero forcing equalizer (ZFE) in the receiver, requiring reference signal and non-knowledge channel. The combination of RLS/SU-RLS and MIMO VBLAST-OFDM is applied for symbol interferences and fading due to the channel transmission. Computer simulation, considering multipath Rayleigh fading channel interference inter symbol and interference are presented to verify the performance; simulation results demonstrate a significant performance improvement using our proposed systems, therefore the BER (bit error rate) is minimized when the number of antennas and carrier frequency are increasing.
机译：频谱效率和高传输数据速率对于未来的无线通信系统而言必不可少。 MIMO-OFDM（多输入多输出正交频分多址）系统可以在丰富的散射信道上提供高容量。但是，必须先估计信道条件，因为从没有先验的知识来了解完美的信道知识。系统性能取决于信道估计的质量以及导频符号的数量。我们为MIMO VBLAST-OFDM系统提出了RLS（递归列表平方）和SU-RLS（二次采样递归最小二乘）算法。这些算法基于递归最小二乘，在接收机中具有导频信道估计（PCE）和迫零均衡器（ZFE），需要参考信号和非知识信道。 RLS / SU-RLS和MIMO VBLAST-OFDM的组合适用于由于信道传输而引起的符号干扰和衰落。通过计算机仿真，提出了考虑多径瑞利衰落信道干扰的符号间和干扰，以验证其性能。仿真结果表明，使用我们提出的系统可以显着改善性能，因此，当天线数量和载波频率增加时，BER（误码率）可以降到最低。

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