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ATSC digital television signal detection with spectral correlation density

机译：具有频谱相关密度的ATSC数字电视信号检测

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摘要

In this paper, we consider the problem of spectrum sensing for advanced television systems committee (ATSC) digital television (DTV) signal detection. To exploit the cyclostationarity of the ATSC DTV signals, we employ spectral correlation density (SCD) as the decision statistic and propose an optimal detection algorithm. The major difficulty is in obtaining the probability distribution functions of the SCD. To overcome the difficulty, we probabilistically model the pilot frequency location and employ Gaussian approximation for the SCD distribution. Then, we obtain a practically implementable detection algorithm that outperforms the industry leading systems by 2???3 dB. We also propose various techniques that greatly reduce the system complexity with performance degradation by only a few tenths of decibels. Finally, we show how robust the system is to the estimation errors of the noise power spectral density level and the probability distribution of the pilot frequency location.
机译：在本文中，我们考虑了高级电视系统委员会（ATSC）数字电视（DTV）信号检测的频谱感测问题。为了利用ATSC DTV信号的循环平稳性，我们采用频谱相关密度（SCD）作为决策统计量，并提出了一种最佳检测算法。主要困难在于获得SCD的概率分布函数。为了克服这一困难，我们对导频频率位置进行概率建模，并对SCD分布采用高斯近似。然后，我们获得了一种实际可行的检测算法，其性能优于业界领先的系统2〜3 dB。我们还提出了各种技术，这些技术可大大降低系统复杂性，而性能却降低了十分之几分贝。最后，我们展示了该系统对噪声功率谱密度水平的估计误差和导频频率位置的概率分布的鲁棒性。

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