Spatial spectrum estimation at a signal-to-noise ratio of -20 dB.

Spatial spectrum estimation at a signal-to-noise ratio of -20 dB.

<p>Spatial spectrum estimation at a signal-to-noise ratio of -20 dB.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Chuanxi Xing (20141665) (author)
مؤلفون آخرون:	Guangzhi Tan (20141668) (author), Qiang Meng (2853221) (author), Yanling Ran (20141671) (author), Mao Lu (17975339) (author)
منشور في:	2024
الموضوعات:	Biophysics Cell Biology Genetics Molecular Biology Neuroscience Biotechnology Infectious Diseases Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified subarrays comprising 5 grid sparse model exhibiting better performance 3 array elements noise ratio conditions method effectively utilizes hydrophone coprime array use bayesian learning virtual array elements reducing noise interference signal subspace fitting target direction estimation coprime array subspace fitting virtual array ocean noise effectively reduces background noise virtual domain source signal received signal low signal xlink "> shallow waters received using posteriori probability performed using numerical simulations null domain novel approach letter presents hydroacoustic signals freedom provided exploiting sparsity covariance matrix atomic norm accurately carried
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الوصف
الملخص:	<p>Spatial spectrum estimation at a signal-to-noise ratio of -20 dB.</p>

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