Name
Abstract | ||
|---|---|---|
We develop adaptive beamforming algorithms that are robust against sensor failure and ill-conditioning in the autocorrelation matrix (common in low-rank interference scenarios). Both goals are achieved simultaneously through the use of l1 regularization. The algorithms are based on the complex adaptive reweighting homotopy technique. We also develop iterative versions of the algorithms that take advantage of properties of homotopy l1 solvers and dichotomous coordinate iterations to reduce considerably the computational complexity, compared with other regularization methods. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TAES.2015.140401 | IEEE Trans. Aerospace and Electronic Systems |
Keywords | Field | DocType |
Interference,Array signal processing,Robustness,Mathematical model,Signal to noise ratio,Correlation,Sensor arrays | Beamforming,Mathematical optimization,Adaptive beamformer,Autocorrelation matrix,Signal-to-noise ratio,Algorithm,Robustness (computer science),Regularization (mathematics),Homotopy,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
51 | 3 | 0018-9251 |
Citations | PageRank | References |
3 | 0.37 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando G. Almeida Neto | 1 | 13 | 1.46 |
| Rodrigo C. de Lamare | 2 | 6 | 2.44 |
| Vitor H. Nascimento | 3 | 163 | 30.26 |
| Yuriy V. Zakharov | 4 | 194 | 29.29 |