Design of an Efficient Initial Frequency Estimator based on Data-Aided algorithm for DVB-S2 system 


Vol. 34,  No. 3, pp. 265-271, Mar.  2009


PDF
  Abstract

This paper proposes an efficient initial frequency estimator for Digital Video Broadcasting-Second Generation (DVB-S2). The initial frequency offset of the DVB-S2 is around ±5MHz, which corresponds to 20% of the symbol rate at 25Msps. To estimate a large initial frequency offset, the algorithm which can provide a large estimation range is required. Through the analysis of the data-aided (DA) algorithms, we find that the Mengali and Moreli (M&M) algorithm can estimate a large initial frequency offset at low SNR. Since the existing frequency estimator based on M&M algorithm has a high hardware complexity, we propose the methods to reduce the hardware complexity of the initial frequency estimator. This can be achieved by reducing the number of autocorrelators and arctangents. The proposed architecture can reduce the hardware complexity about 64.5% compared to the existing frequency estimator and has been thoroughly verified on the Xilinx Virtex II FPGA board.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. W. Park and M. H. Sunwoo, "Design of an Efficient Initial Frequency Estimator based on Data-Aided algorithm for DVB-S2 system," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 265-271, 2009. DOI: .

[ACM Style]

Jang Woong Park and Myung Hoon Sunwoo. 2009. Design of an Efficient Initial Frequency Estimator based on Data-Aided algorithm for DVB-S2 system. The Journal of Korean Institute of Communications and Information Sciences, 34, 3, (2009), 265-271. DOI: .

[KICS Style]

Jang Woong Park and Myung Hoon Sunwoo, "Design of an Efficient Initial Frequency Estimator based on Data-Aided algorithm for DVB-S2 system," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 265-271, 3. 2009.