Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. The Proposed Methodology
  2.1. The Mimo System
  2.2. The System Modelling
  2.3. The Single Channel Estimation
 3. Multiple Channel Estimation
  3.1. Prior Knowledge
  3.2. Multiple Ls Estimation
  3.3. Multiple Bayesian MMSE Estimation
 4. Experiment and Simulation Result
  4.1. Set-Up of the Experiment
  4.2. Experiment Simulation
 5. Conclusion and Summary
 Acknowledgement
 References

키워드

저자

• Wenzhun Huang [ Department of Electronic Information Engineering, Xijing University, Xi’an 710123, China ]
• Shanwen Zhang [ Department of Electronic Information Engineering, Xijing University, Xi’an 710123, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605