Robust estimation of the number of coherent radar signal sources using deep learning

Robust estimation of the number of coherent radar signal sources using deep learning

Abstract A deep‐learning‐based approach to estimating the number of coherent sources in radar is presented. A proper estimate of the number of sources in a signal enables improved angle‐of‐arrival (AoA) estimation common in applications such as radar, sonar, and communication systems. Many AoA estim...

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Bibliographic Details
Main Authors: John Rogers, John E. Ball, Ali C. Gurbuz
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:IET Radar, Sonar & Navigation
Subjects:
covariance matrices
direction‐of‐arrival estimation
estimation theory
radar computing
radar signal processing
smoothing methods
Online Access:https://doi.org/10.1049/rsn2.12047

Internet

https://doi.org/10.1049/rsn2.12047

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