Earticle

초록

영어

A large number of pilots are utilized to acquire channel information in traditional channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) system, which leads to lower spectrum efficiency. For exploiting the sparse channel characteristics of 3GPP multipath channels, we employ the Compressed Sensing (CS) approach for channel estimation. Two CS-based recovery algorithms, Orthogonal matching pursuit (OMP) algorithm and Compressive sampling matching pursuit (CoSaMP) algorithm, are considered in this paper. The Bit error rate (BER) and Mean squared error (MSE) performance using traditional least square(LS), and two CS-based algorithms are given. Simulation results demonstrate that the CoSaMP algorithm achieves best performance with fewer pilots among three algorithms under 3GPP channels.

목차

Abstract
 1. Introduction
 2. System Model
 3. Compressed Sensing based Channel Estimation
 4. Simulation Results and Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Han Wang [ College of Information Science & Technology, Hainan University, 58 Renmin Ave., Haikou, Hainan 570228,China ]
• Wencai Du [ College of Information Science & Technology, Hainan University, 58 Renmin Ave., Haikou, Hainan 570228,China ]
• Yong Bai [ College of Information Science & Technology, Hainan University, 58 Renmin Ave., Haikou, Hainan 570228,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