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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| Format: | Article |
| Language: | English |
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Hindawi-IET
2022-02-01
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| Series: | IET Signal Processing |
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| Online Access: | https://doi.org/10.1049/sil2.12077 |