Earticle

초록

영어

In this paper, a modified adaptive sparse channel estimator based on singular value decomposition (SVD) for OFDM systems is proposed. The conventional adaptive sparsity matching pursuit (ASMP) based compressive channel estimation has bad anti-noise performance, although not needing the information of sparsity. Because using the SVD to modify the measurement matrix of CS can improve the robustness to noise. So we use the SVD to modify the measurement matrix of ASMP based compressive channel estimation. The proposed channel estimation has better robustness to noise and low error. The simulation results show that comparing with ASMP based compressive channel estimation, the proposed algorithm has 1 dB gain at MSE and 1.3 dB gain at BER.

목차

Abstract
 1. Introduction
 2. System Model
 3. ASMP Based Channel Estimator
 4. The Modified Method Based on Singular Value Decomposition
 5. Simulation Results and Analysis
 6. Conclusion
 References

키워드

저자

• Liu Zhiyong [ Beijing GuoDianTong Network Technology Co.,Ltd. School of Electronic Engineering, Beijing University of Posts and Telecommunications ]
• Wang Yiron [ Beijing GuoDianTong Network Technology Co.,Ltd. School of Electronic Engineering, Beijing University of Posts and Telecommunications ]
• Liu Weicai [ Beijing GuoDianTong Network Technology Co.,Ltd. School of Electronic Engineering, Beijing University of Posts and Telecommunications ]

참고문헌

발행기관

간행물

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• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605