计算机科学 ›› 2012, Vol. 39 ›› Issue (5): 80-82.

• 计算机网络与信息安全 • 上一篇    下一篇

一种新的基于训练序列的时域MIMO-OFDM信道估计方法

吴成恩,舒勤   

  1. (四川大学计算机学院 成都610065) (四川大学电气信息学院 成都610065)
  • 出版日期:2018-11-16 发布日期:2018-11-16

New Channel Estimation Algorithm in Time-domain for MIMO-OFDM System Based on Training Sequences

  • Online:2018-11-16 Published:2018-11-16

摘要: 提出了一种适合于MIMO-OFDM系统的信道估计方法。详细说明了使用的估计准则和训练序列的构造方法,利用训练序列良好的时域相关特性可以简便、精确地估计出信道的冲击响应,并对算法的性能进行了理论分析和计算机仿真。从分析结果可以看出,该算法与使用最佳训练序列的LS时域佑计方法具有相当的佑计精度。同时该算法不需要进行时域变换,只需要一定数量的相关运算,其计算复杂度进一步降低。

关键词: 多输入多输出-正交频分复用,信道估计,训练序列

Abstract: A channel estimation algorithm was proposed for MIM+OFDM system. Estimation criteria and training patterns were given in detail. Due to the correlation of the proposed training patterns,the channel estimation can be acquried conveniently and accurately. The result of both theoretical analysis and simulation shows that the proposed algorithm's performance is as good as the LS algorithm based on optimal training sequences in timcdomain. At the same time the algorithm does not rectuire time domain and frectuency domain transformation, and only a certain number of correlation calculation is needed, so the computation burden is low.

Key words: MIMO-OFDM,Channcl cstimation,Training pattern

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