Detection of Number of Wideband Signals Based on Support Vector Machine |
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| Authors: | Jiaqi Zhen |
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| Affiliation: | 1.School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China.
2 School of Physics, University of Electronic Science and Technology of China, Chengdu, 610054, China.
3 School of Information Science and Engineering, University of Jinan, Jinan, 250022, China.
4 Department of Chemistry and Biochemistry, Utah State University, Logan, 84322, USA. |
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| Abstract: | 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. |
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| Keywords: | Number of signals wideband signals support vector machine array signal processing |
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