Abstract
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.
| Original language | English |
|---|---|
| Number of pages | 5 |
| Publication status | Published - 2014 |
| Event | Sensor Signal Processing for Defense - SSPD Conference 2014 - Edinburgh, United Kingdom Duration: 2014 Sept 8 → 2014 Sept 9 |
Conference
| Conference | Sensor Signal Processing for Defense - SSPD Conference 2014 |
|---|---|
| Country/Territory | United Kingdom |
| City | Edinburgh |
| Period | 2014/09/08 → 2014/09/09 |
Subject classification (UKÄ)
- Probability Theory and Statistics