| DVB-S2 ACM技术中的信噪比估计 |
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| 引用本文： | 杨富银,张白愚,黄焱.DVB-S2 ACM技术中的信噪比估计[J].电视技术,2012,36(13):106-109. |
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| 作者姓名： | 杨富银 张白愚 黄焱 |
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| 作者单位： | 解放军信息工程大学信息工程学院,解放军信息工程大学信息工程学院,解放军信息工程大学信息工程学院 |
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| 基金项目： | 国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| 摘 要： | 为了在DVB-S2系统自适应编码调制(ACM)技术中实现对信道信噪比的精确、高效估计,提出了一种基于子空间分解的数据辅助类信噪比估计算法。计算机仿真结果表明,在较宽的信噪比范围内,该算法的性能优于数据辅助类的最大似然估计算法和经典的基于子空间分解的ED算法,估计精度高,计算复杂度低,非常适合在DVB-S2系统ACM技术中应用。
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| 关 键 词： | 自适应编码调制 数据辅助 信噪比估计 子空间分解 |
| 收稿时间： | 2011/11/22 0:00:00 |
| 修稿时间： | 12/8/2011 5:10:13 PM |
SNR Estimation for the Adaptive Coding and Modulation Technique in DVB-S2 |
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| yangfuyin,zhangbaiyu and huangyan.SNR Estimation for the Adaptive Coding and Modulation Technique in DVB-S2[J].Tv Engineering,2012,36(13):106-109. |
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| Authors: | yangfuyin zhangbaiyu and huangyan |
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| Affiliation: | PLA Information Engineering University,Institute of Information Engineering,PLA Information Engineering University,Institute of Information Engineering,PLA Information Engineering University,Institute of Information Engineering |
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| Abstract: | A data aided SNR estimation algorithm based on subspace decomposition is proposed in this paper to realize the accurate and efficient estimation of the channel SNR in the ACM (Adaptive Coding and Modulation) technique of DVB-S2 systems. Computer simulation results show that this estimator yields better performance than the data aided maximum likelihood estimator and a classical ED estimator based on subspace decomposition in a large domain. The high estimation accuracy and low complexity make this estimator very suitable for the ACM technique in DVB-S2 systems. |
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| Keywords: | adaptive coding and modulation data aided signal-to-noise ratio estimation subspace decomposition |
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