Source Enumeration Approaches Using Eigenvalue Gaps and Machine Learning Based Threshold for Direction-of-Arrival Estimation

Source enumeration is an important procedure for radio direction-of-arrival finding in the multiple signal classification (MUSIC) algorithm. The most widely used source enumeration approaches are based on the eigenvalues themselves of the covariance matrix obtained from the received signal. However,...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Yunseong Lee, Chanhong Park, Taeyoung Kim, Yeongyoon Choi, Kiseon Kim, Dongho Kim, Myung-Sik Lee, Dongkeun Lee
Format:	Article
Language:	English
Published:	MDPI AG 2021-02-01
Subjects:	electronic warfare source enumeration eigenvalues of covariance matrix subspace-based estimation uniform linear array machine learning
Online Access:	https://www.mdpi.com/2076-3417/11/4/1942