Data processing: measuring – calibrating – or testing – Measurement system – Measured signal processing
Reexamination Certificate
2005-08-16
2005-08-16
Nghiem, Michael (Department: 2863)
Data processing: measuring, calibrating, or testing
Measurement system
Measured signal processing
C702S189000
Reexamination Certificate
active
06931362
ABSTRACT:
A technique for blind source separation (“BSS”) of statistically independent signals with low signal-to-noise plus interference ratios under a narrowband assumption utilizing cumulants in conjunction with spectral estimation of the signal subspace to perform the blind separation is disclosed. The BSS technique utilizes a higher-order statistical method, specifically fourth-order cumulants, with the generalized eigen analysis of a matrix-pencil to blindly separate a linear mixture of unknown, statistically independent, stationary narrowband signals at a low signal-to-noise plus interference ratio having the capability to separate signals in spatially and/or temporally correlated Gaussian noise. The disclosed BSS technique separates low-SNR co-channel sources for observations using an arbitrary un-calibrated sensor array. The disclosed BSS technique forms a separation matrix with hybrid matrix-pencil adaptive array weights that minimize the mean squared errors due to both interference emitters and Gaussian noise. The hybrid weights maximize the signal-to interference-plus noise ratio.
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Anderson Paul David
Anderson Richard Hugh
Beadle Edward Ray
Dishman John Fitzgerald
Martin Gayle Patrick
Duane Morris LLP
Harris Corporation
Nghiem Michael
Washburn Douglas N.
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