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

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
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
Series:Applied Sciences
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

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https://www.mdpi.com/2076-3417/11/4/1942

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