| Paper: | SAM-P3.7 | ||
| Session: | Beamforming and Space-Time Processing | ||
| Time: | Wednesday, May 17, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Adaptive beamforming and direction of arrival estimation | ||
| Title: | Generalized Broadband Beamforming Using a Modal Decomposition | ||
| Authors: | Michael Williams, Thushara Abhayapala, Rodney Kennedy, National ICT Australia, Australia | ||
| Abstract: | We propose a new broadband beamformer design technique which produces an optimal beampattern for any set of samples in space and time. The modal subspace decomposition (MSD) technique is based on projecting a desired pattern into the subspace of patterns achievable by a particular set of space-time sampling positions. This projection is the optimal achievable pattern, in the sense that it minimizes the mean-squared error (MSE) between the desired and actual patterns. The main advantage of the technique is versatility as it can produce optimal beamformers for both sparse and dense arrays, non-uniform and asynchronous time sampling, and dynamic arrays where sensors can move throughout space. It can also be applied to any beampattern type, including frequency-invariant and spot pattern design. | ||
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