| Title | Adaptive Detection of a Partly Known Signal Corrupted by Strong Interference |
| Authors | Albin Svensson, Andreas Jakobsson |
| Alternative Location | http://dx.doi.org/10.1109/L..., Restricted Access |
| Publication | IEEE Signal Processing Letters |
| Year | 2011 |
| Volume | 18 |
| Issue | 12 |
| Pages | 729 - 732 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE |
| Abstract English | In this letter, we consider adaptive detection of a partly known signal corrupted by additive noise and strong interference with support that is only partly known. Assuming a homogeneous environment where the covariance matrix of the additive noise is the same for the primary and secondary data sets, although with the secondary data set also being affected by the interference, we allow for conic uncertainty models for both the signal and interference subspaces, developing a generalized likelihood ratio detector for the signal of interest. Numerical examples indicate that the proposed method offers a notable performance gain as compared to other recent related methods. |
| Keywords | uncertainty, strong interference, signal detection, Iterative methods, |
Questions: webmaster
Last update: 2013-04-11
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)