公开(公告)号：US20150071328A1

公开(公告)日：2015-03-12

申请号：US14025763

申请日：2013-09-12

Applicant: KING ABULAZIZ CITY FOR SCIENCE AND TECHNOLOGY ,  KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS

Inventor： ZAHID SALEEM ,  SAMIR AL-GHADHBAN ,  TAREQ Y. AL-NAFFOURI

IPC: H04B1/10

CPC classification number: H04W16/14 ,  G06K9/00516 ,  G06K9/0053 ,  G06K9/0057 ,  H04B1/719 ,  H04B2201/692 ,  H04L27/0004 ,  H04L27/0006

Abstract: The peak detection method using blind source separation extracts true peaks from noisy peaks in a more robust way that does not require any a priori information. Information regarding true peak location is obtained by thresholding the output of a wavelet transform. The value of the threshold is dependent on noise variance. While noise variance is normally unknown, the present method implements a blind source separation technique to calculate the noise variance. The blind source separation technique does not require information of the incoming signal or the channel noise, and hence is suitable for CR (cognitive radio) peak detection.

Abstract translation: 使用盲源分离的峰检测方法以更鲁棒的方式从噪声峰提取真实峰值，其不需要任何先验信息。 通过阈值化小波变换的输出来获得关于真峰位置的信息。 阈值取决于噪声方差。 虽然噪声方差通常是未知的，但是本方法实现了盲源分离技术来计算噪声方差。 盲源分离技术不需要输入信号或信道噪声的信息，因此适用于CR（认知无线电）峰值检测。