Detection of number of wideband signals based on support vector machine

被引：0
|
作者：
Zhen, Jiaqi [1 ]
机构：
[1] College of Electronic Engineering, Heilongjiang University, Harbin,150080, China
来源：
Computers, Materials and Continua | 2020年 / 63卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Eigenvalues and eigenfunctions - Additive noise - Array processing - Signal detection;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In array signal processing, number of signals is often a premise of estimating other parameters. For the sake of determining signal number in the condition of strong additive noise or a little sample data, an algorithm for detecting number of wideband signals is provided. First, technique of focusing is used for transforming signals into a same focusing subspace. Then the support vector machine (SVM) can be deduced by the information of eigenvalues and corresponding eigenvectors. At last, the signal number can be determined with the obtained decision function. Several simulations have been carried on verifying the proposed algorithm. © 2020 Tech Science Press. All rights reserved.
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页码：445 / 455
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