Source enumeration via RMT estimator with adaptive decision criterion based on linear shrinkage estimation of noise eigenvalues using relatively few samples

Abstract Estimating the number of signals embedded in noise is a fundamental problem in array signal processing. The classic random matrix theory (RMT) estimator based on RMT does not consider the bias term of the expectation of the eigenvalue being tested, and thus, its detection performance will b...

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Bibliographic Details
Main Author: Huiyue Yi
Format: Article
Language:English
Published: Wiley 2022-02-01
Series:IET Signal Processing
Subjects:
Online Access:https://doi.org/10.1049/sil2.12077
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