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- W2942398189 abstract "Several array signal processing methods can be used to estimate bearings-of-arrival (BOA) in the presence of multiple infrasound sources, and their effectiveness depends upon several factors including array geometry, relative signal and noise power spectra, and noise cross-spectra. One of the most effective and computationally efficient methods is Multiple Signal Classification (MUSIC). However, MUSIC's performance not only degrades with the decreasing signal-to-noise ratio, as all methods, but also degrades as the noise model deviates from the assumption of uncorrelated, equal noise power on all channels. Uncorrelated, but unequal, noise power levels are a common situation with infrasound arrays, and the degradation of MUSIC's performance has been observed when estimating 2–10 Hz acoustic emissions from tornadic storms. This presentation examines the performance of formal maximum-likelihood estimation of multiple BOAs using the complex Wishart distribution as a model for the array's cross-spectral density matrix estimates. Estimation and computational performance comparisons with MUSIC are also reported." @default.
- W2942398189 created "2019-05-03" @default.
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- W2942398189 date "2019-03-01" @default.
- W2942398189 modified "2023-10-17" @default.
- W2942398189 title "Estimating multiple bearings-of-arrival from tornadic storms using the complex Wishart distribution" @default.
- W2942398189 doi "https://doi.org/10.1121/1.5101748" @default.
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