期刊名称：International Journal of Future Generation Communication and Networking
印刷版ISSN：2233-7857
出版年度：2016
卷号：9
期号：3
页码：289-302
DOI：10.14257/ijfgcn.2016.9.3.26
出版社：SERSC
摘要：In this paper, the performance of the single-estimation and multiple-estimation is investigated in multiple-input multiple-output (MIMO) Rician flat fading channels using the traditional least squares estimator and the Bayesian minimum mean square error estimator. In high-speed mobile environment, relatively severe channel conditions change, at this point, the sender is difficult to obtain more accurate of the instantaneous channel state information, for the implementation of adaptive MIMO transmission under this scenario. The MIMO techniques can be combined with space- time coding technique for coding diversity gain and also can use a simple multiplexing transmission in order to improve the transmission rate. The pseudo random sequence is certain, but it has many properties similar to that of the random binary data. Such as any two pseudo random sequence of cross correlation is small. In the research, we combine the basic theory of the state-of-the algorithm to propose our method. In the experimental part, we compare our method with other related state-of-the-art algorithms. The result proves the effectiveness and feasibility of the proposed method. In the near future, we plan to conduct more literature review and theoretical analysis to modify and optimize our current method.
关键词：Channel Estimation Techniques; MIMO; Least Squares Estimator; Signal ; to Noise Ratios (SNRs); Bayesian Theory
