发明名称 |
System and method for hybrid minimum mean squared error matrix-pencil separation weights for blind source separation |
摘要 |
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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申请公布号 |
US2004204922(A1) |
申请公布日期 |
2004.10.14 |
申请号 |
US20030713107 |
申请日期 |
2003.11.17 |
申请人 |
BEADLE EDWARD RAY;ANDERSON RICHARD HUGH;DISHMAN JOHN FITZGERALD;ANDERSON PAUL DAVID;MARTIN GAYLE PATRICK |
发明人 |
BEADLE EDWARD RAY;ANDERSON RICHARD HUGH;DISHMAN JOHN FITZGERALD;ANDERSON PAUL DAVID;MARTIN GAYLE PATRICK |
分类号 |
G06F15/00;G06F17/18;G06K9/62;H04Q;(IPC1-7):G06F17/18;G06F101/14 |
主分类号 |
G06F15/00 |
代理机构 |
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