| Paper: | SAM-P3.1 | ||
| Session: | Beamforming and Space-Time Processing | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Beamforming, direction-of-arrival estimation, and space-time adaptive processing | ||
| Title: | PERFORMANCE ANALYSIS FOR A CLASS OF ROBUST ADAPTIVE BEAMFORMERS | ||
| Authors: | Olivier Besson; ENSICA | ||
| François Vincent; ENSICA | |||
| Abstract: | Robust adaptive beamforming is a key issue in array applicationswhere there exist uncertainties about the steering vector ofinterest. Diagonal loading is one of the most popular techniquesto improve robustness. Recently, worst-case approaches whichconsist in protecting the array's response in an ellipsoidcentered around the nominal steering vector have been proposed.They amount to generalized (i.e. non necessarily diagonal) loadingof the covariance matrix. In this paper, we present a theoreticalanalysis of the signal to interference plus noise ratio (SINR) forthis class of robust beamformers, in the presence of randomsteering vector errors. A closed-form expression for the SINR isderived which is shown to accurately predict the SINR obtained insimulations. This theoretical formula is valid for any loadingmatrix. It provides insights into the influence of the loadingmatrix and can serve as an helpful guide to select it. Finally,the analysis enables to predict the level of uncertainties up towhich robust beamformers are effective and then depart from theoptimal SINR. | ||
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