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arXiv 1111.1666cs.NI
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LTE下行链路LS和LMMSE信道估计技术的性能分析

Performance Analysis of LS and LMMSE Channel Estimation Techniques for LTE Downlink Systems

Abdelhakim Khlifi, Ridha Bouallegue

摘要:

本文的主要目的是研究LTE下行链路中两种线性信道估计器的性能,最小均方误差(LSE)和线性最小均方误差(LMMSE)。由于LTE是基于MIMO-OFDM的系统,因此在每个发送的OFDM符号的开始处插入循环前缀,以便完全抑制载波间干扰(ICI)和符号间干扰(ISI)。通常,循环前缀等于或长于信道长度,但是在某些情况下并且由于某些不可预见的信道行为,循环前缀可以更短。因此,我们建议研究的信道长度的影响下的两个线性估计器的性能。计算机模拟表明,在循环前缀等于或大于信道长度的情况下,LMMSE的性能优于LSE,但代价是计算复杂性增加;在另一种情况下,LMMSE仅在低信噪比时性能继续改善,但在高信噪比时性能下降,其中LS在LTE下行链路中表现出更好的性能。MATLAB蒙特卡洛仿真被用来评估所研究的估计器的均方误差(MSE)和比特出错率(BER)的2 × 2 LTE下行链路系统的性能。

英文摘要:

The main purpose of this paper is to study the performance of two linear channel estimators for LTE Downlink systems, the Least Square Error (LSE) and the Linear Minimum Mean Square Error (LMMSE). As LTE is a MIMO-OFDM based system, a cyclic prefix is inserted at the beginning of each transmitted OFDM symbol in order to completely suppress both inter-carrier interference (ICI) and inter-symbol interference (ISI). Usually, the cyclic prefix is equal to or longer than the channel length but in some cases and because of some unforeseen channel behaviour, the cyclic prefix can be shorter. Therefore, we propose to study the performance of the two linear estimators under the effect of the channel length. Computer simulations show that, in the case where the cyclic prefix is equal to or longer than the channel length,LMMSE performs better than LSE but at the cost of computational complexity.In the other case, LMMSE continue to improve its performance only for low SNR values but it degrades for high SNR values in which LS shows better performance for LTE Downlink systems. MATLAB Monte-Carlo simulations are used to evaluate the performance of the studied estimators in terms of Mean Square Error (MSE) and Bit Error Rate (BER) for 2x2 LTE Downlink systems.

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