Earticle

초록

영어

Many wireless channels encountered in practice tend to exhibit the structure of sparse multipath due to large bandwidth or large number of antennas. High-rate data wireless communications over multipath wireless channels usually require that the channel response be known at the receiver. In this paper, a novel scheme for the estimation of sparse wireless channels is developed. The initial estimation of the channel taps is obtained by the unstructured least-squares (LS) method. Then, the presence of a channel tap is detected via an improved threshold obtained by applying the nature of sparse channels and the statistics of the noise vector. At last, the channel estimate is refined by deploying the knowledge previously acquired on the position of the nonzero taps and the structured LS method. The proposed method is compared and contrasted with the existing sparse estimation methods. And the results show the validity of the proposed method.

목차

Abstract
 1. Introduction
 2. OFDM System Model
 3. Proposed Sparse CIR Estimation Method
 4. Simulation Results and Analysis
 5. Conclusion
 References

키워드

저자

• Xiaolin Shi [ Northwestern Polytechnical University, Xi’an, P. R. China / Xi’an University of Posts and Telecommunications, Xi’an, P. R. China ]
• Yixin Yang [ Northwestern Polytechnical University, Xi’an, P. R. China ]
• Long Yang [ Northwestern Polytechnical University, Xi’an, P. R. 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