Name
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 |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICASSP.2006.1661145 | Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference |
Keywords | Field | DocType |
array signal processing,mean square error methods,signal sampling,asynchronous time sampling,dense arrays,dynamic arrays,frequency-invariant pattern design,generalized broadband beamforming,mean-squared error,modal subspace decomposition technique,optimal beampattern,space-time sampling positions,sparse arrays,spot pattern design | Dynamic array,Beamforming,Array processing,Mathematical optimization,Subspace topology,Computer science,Mean squared error,Sampling (statistics),Modal,Space-time adaptive processing | Conference |
Volume | ISSN | ISBN |
4 | 1520-6149 | 1-4244-0469-X |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Ian Yang Williams | 1 | 0 | 0.34 |
| Abhayapala, T.D. | 2 | 174 | 25.09 |
| R. Kennedy | 3 | 2237 | 228.07 |