Blind beamforming on a randomly distributed sensor array system.

We consider a digital signal processing sensor array system, based on randomly distributed sensor nodes, for surveillance and source localization applications. In most array processing the sensor array geometry is fixed and known and the steering array vector/manifold information is used in beamform...

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Detalles Bibliográficos
Publicado en:	IEEE Journal on selected areas in communications 16, 8 (1998).
Autor Principal:	Kung Yao
Formato:	Artigo
Idioma:	English
Subjects:	RF communications. Szego's theory. Toeplitz matrix. Array calibration. Array processing. Array weights. Asymptotic distribution. Blind beamforming. Digital signal processing. Eigenvalue. Eigenvector. Frequency/spatial responses. Least squares method. Matrix eigenvalue problem. Maximum power collection criterion. Measured acoustical sensor data. Measured sensor data. Randomly distributed sensor array system. Randomly distributed sensor nodes. Sample correlation matrix. Sample data. Sensor array geometry. Signal enhancement. Simulation. Source localization. Space-time filtering. Steering array vector/manifold information. Surveillance. Time delay estimation.