Earticle

초록

영어

In this paper, a enhanced DFT-based channel estimation for OFDM systems is proposed. Conventional DFT-based channel estimations improve the performance by suppressing time domain noise beyond the length of the cyclic prefix (CP), so it does not completely suppress the noise. However, they potentially require information on channel impulse responses and may also result in mean-square error (MSE) floor due to incorrect channel information such as channel delay spread. In order to overcome the disadvantage, our proposed channel estimation can improve the performance by deciding significant channel taps adaptively. Significant channel taps are detected on the basis of cluster discriminant analysis. Simulation results demonstrate that the proposed algorithm outperforms the conventional DFT-based estimation in terms of BER and MSE performance.

목차

Abstract
 1. Introduction
 2. OFDM System Model
 3. Channel Estimation Algorithm
  3.1. LS Channel Estimation
  3.2. DFT-based Channel Estimation
 4. Proposed Channel Estimation
  4.1. Cluster Analysis
 5. Simulation Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Tongliang Fan [ Electronic Technology Department, China Maritime Police Academy, Ningbo, 315801, China ]
• Yucang Wen [ Electronic Technology Department, China Maritime Police Academy, Ningbo, 315801, China ]
• Xinli Ma [ Electronic Technology Department, China Maritime Police Academy, Ningbo, 315801, China ]
• Yongfeng Du [ Electronic Technology Department, China Maritime Police Academy, Ningbo, 315801, China ]
• Mo Li [ Electronic Technology Department, China Maritime Police Academy, Ningbo, 315801, 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