Sammanfattning
We show that recent robust adaptive beamformers,
based on reconstructing either the noise-plus-interference or
the data covariance matrices, are sensitive to the noise-plus-
interference structure and degrade in the typical case when
interferer steering vector mismatch exists, often performing much
worse than common diagonally loaded sample covariance matrix
based approaches, even when signal-of-interest steering vector
mismatch is absent.
based on reconstructing either the noise-plus-interference or
the data covariance matrices, are sensitive to the noise-plus-
interference structure and degrade in the typical case when
interferer steering vector mismatch exists, often performing much
worse than common diagonally loaded sample covariance matrix
based approaches, even when signal-of-interest steering vector
mismatch is absent.
Originalspråk | engelska |
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Antal sidor | 5 |
Status | Published - 2014 |
Evenemang | Sensor Signal Processing for Defense - SSPD Conference 2014 - Edinburgh, Storbritannien Varaktighet: 2014 sep. 8 → 2014 sep. 9 |
Konferens
Konferens | Sensor Signal Processing for Defense - SSPD Conference 2014 |
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Land/Territorium | Storbritannien |
Ort | Edinburgh |
Period | 2014/09/08 → 2014/09/09 |
Ämnesklassifikation (UKÄ)
- Sannolikhetsteori och statistik