| Paper: | SAM-P3.2 | ||
| 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: | ON LOW RANK MVDR BEAMFORMING USING THE CONJUGATE GRADIENT ALGORITHM | ||
| Authors: | Ernesto Santos; Purdue University | ||
| Michael Zoltowski; Purdue University | |||
| Abstract: | In array applications an important task is adaptive beamforming.The Minimum Variance Distortionless Response (MVDR) beamformer can only be computed if the true spatial correlation matrix isavailable. In practice, the correlation matrix has to beestimated from the arriving signals, and in some cases there are only a small number of samples (snapshots) available. When the number of snapshots is small, the MVDR beamformer is no longer optimal, and a low rank MVDR solution can provide a higher SINR. In this work we will analyze two methods of finding low ranksolutions: Signal Independent Conjugate Gradient (SI-CG) andSignal Dependent Conjugate Gradient (SD-CG). We will also propose a simplified expression to compute the arriving power from any given direction. | ||
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