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Detection of Number of Wideband Signals Based on Support Vector Machine
1 College of Electronic Engineering, Heilongjiang University, Harbin, 150080, China.
* Corresponding Author: Jiaqi Zhen. Email: .
Computers, Materials & Continua 2020, 63(1), 445-455. https://doi.org/10.32604/cmc.2020.06385
Received 16 February 2019; Accepted 18 July 2019; Issue published 30 March 2020
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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.Keywords
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APA Style
Zhen, J. (2020). Detection of number of wideband signals based on support vector machine. Computers, Materials & Continua, 63(1), 445-455. https://doi.org/10.32604/cmc.2020.06385
Vancouver Style
Zhen J. Detection of number of wideband signals based on support vector machine. Comput Mater Contin. 2020;63(1):445-455 https://doi.org/10.32604/cmc.2020.06385
IEEE Style
J. Zhen, “Detection of Number of Wideband Signals Based on Support Vector Machine,” Comput. Mater. Contin., vol. 63, no. 1, pp. 445-455, 2020. https://doi.org/10.32604/cmc.2020.06385
Citations
Copyright © 2020 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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