| Paper: | SAM-P4.8 | ||
| Session: | Direction-of-Arrival Estimation | ||
| Time: | Wednesday, May 19, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Beamforming, direction-of-arrival estimation, and space-time adaptive processing | ||
| Title: | APPROXIMATE ML DIRECTION FINDING IN SPATIALLY CORRELATED NOISE USING OBLIQUE PROJECTIONS | ||
| Authors: | Mustapha Djeddou; École Nationale Polytechnique | ||
| Adel Belouchrani; École Nationale Polytechnique | |||
| Saïd Aouada; Darmstadt University of Technology | |||
| Abstract: | We consider the problem of Maximum Likelihood estimation of Directions of Arrival of multiple source signals in the presenceof unknown spatially correlated Gaussian noise. ObliqueProjections are used to separate the structured noise from thesignal and an Approximate Maximum Likelihood solution is derived.The estimates are obtained by maximizing the modified costfunction using a nonlinear optimization technique. Numericalsimulations are provided to assess the performance of the proposed approach. Simulations include comparison to the Stochastic Maximum Likelihood and to the Weighted Subspace Fitting, as well as to the Cramer-Rao Bound. | ||
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