信噪比(成像)
波束赋形
算法
计算机科学
特征向量
信号(编程语言)
信号处理
噪音(视频)
枚举
噪声功率
功率(物理)
数学
模式识别(心理学)
人工智能
电信
物理
组合数学
图像(数学)
量子力学
程序设计语言
雷达
作者
J. Gu,Ping Wei,Heng-Ming Tai
标识
DOI:10.1049/iet-spr:20060019
摘要
A new method to detect the number of sources in array signal processing is proposed. Most source detection techniques perform reasonably well at medium or high signal-to-noise ratio (SNR), but not at low SNR. This method exploits eigenvectors, instead of sample eigenvalues, for source enumeration. It employs the blind beamforming technique and the peak-to-average power ratio based frequency estimation algorithm to estimate the number of sources. Simulation results show that the proposed method is superior to the minimum description length and predictive description length algorithms at low SNR.
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