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- W4367596123 abstract "Abstract This paper provides a method for enumerating signals impinging on an array of sensors based on the generalized Bayesian information criterion (GBIC). The proposed method motivates by a statistic for testing the sphericity of the covariance matrix when the sample size n is less than the dimension m . The statistic consists of the first four moments of sample eigenvalue distribution and relaxes the assumption of Gaussian distribution. We derive the asymptotical distribution of the statistic as m , n tends to infinity at the same ratio by random matrix theory and propose the expression of GBIC for determining the signal number. Numerical simulations demonstrate that the proposed method has a high probability of detection in both the Gaussian and the non-Gaussian noise, and performs better than other methods." @default.
- W4367596123 created "2023-05-02" @default.
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- W4367596123 date "2023-05-01" @default.
- W4367596123 modified "2023-09-26" @default.
- W4367596123 title "An RMT-based generalized Bayesian information criterion for signal enumeration" @default.
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- W4367596123 doi "https://doi.org/10.1186/s13634-023-01012-3" @default.
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