Minimum dispersion beamforming for non-Gaussian signals

X Jiang, WJ Zeng, HC So… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Most of the existing beamforming methods are based on the Minimum Variance (MV)
criterion. The MV approach is statistically optimal only when the signal, interferences and the …
被引用次数：66 相关文章

[引用][C] Minimum Dispersion Beamforming for Non-Gaussian Signals

X Jiang, WJ Zeng, A Yasotharan… - IEEE Transactions …, 2014 - ui.adsabs.harvard.edu
Minimum Dispersion Beamforming for Non-Gaussian Signals - NASA/ADS Now on home page
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Minimum Dispersion Beamforming for Non-Gaussian Signals

X Jiang, WJ Zeng, A Yasotharan, HC So… - IEEE Transactions on …, 2014 - infona.pl
Most of the existing beamforming methods are based on the Minimum Variance (MV)
criterion. The MV approach is statistically optimal only when the signal, interferences and the …

[引用][C] Minimum Dispersion Beamforming for Non-Gaussian Signals

XUE JIANG, WJ ZENG… - IEEE transactions …, 2014 - pascal-francis.inist.fr
Minimum Dispersion Beamforming for Non-Gaussian Signals CNRS Inist Pascal-Francis
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Minimum Dispersion Beamforming for Non-Gaussian Signals

X Jiang, WJ Zeng, A Yasotharan, HC So… - IEEE Transactions on …, 2014 - dl.acm.org
Most of the existing beamforming methods are based on the Minimum Variance (MV)
criterion. The MV approach is statistically optimal only when the signal, interferences and the …

Minimum dispersion beamforming for non-gaussian signals

X Jiang, WJ Zeng, A Yasotharan, HC So… - IEEE Transactions …, 2014 - scholars.cityu.edu.hk
Most of the existing beamforming methods are based on the Minimum Variance (MV)
criterion. The MV approach is statistically optimal only when the signal, interferences and the …