Name
Abstract | ||
|---|---|---|
We propose low-complexity robust beamforming algorithms based on the conjugate gradient method and the worst-case optimization based criterion. Unlike the existing robust beamformers based on the worst-case optimization based criterion that use a second-order cone program, the proposed algorithms employ a joint optimization strategy based on low-complexity conjugate gradient algorithms. The proposed algorithms are termed the Robust Constrained Minimum Variance Modified Conjugate Gradient (Robust-CMV-MCG) and the Robust Constrained Constant Modulus Modified Conjugate Gradient (Robust-CCM-MCG), which has an advantage for the special case of constant modulus signals. Simulations show that the performances of the proposed algorithms are equivalent or better than that of existing robust algorithms, whereas the complexity is more than an order of magnitude lower. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/WSA.2011.5741917 | WSA |
Keywords | Field | DocType |
array signal processing,optimisation,conjugate gradient techniques,joint optimization strategy,magnitude lower,robust beamforming,second-order cone program,worst-case optimization,array steering vector mismatch,conjugate gradient method,low-complexity algorithms,robust adaptive beamforming,robustness,adaptive beamforming,conjugate gradient | Conjugate gradient method,Gradient method,Beamforming,Mathematical optimization,Gradient descent,Robustness (computer science),Nonlinear conjugate gradient method,Mathematics,Conjugate residual method,Derivation of the conjugate gradient method | Conference |
ISBN | Citations | PageRank |
978-1-61284-073-4 | 1 | 0.36 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Landau | 1 | 83 | 13.35 |
| de Lamare, R.C. | 2 | 652 | 33.42 |
| Lei Wang | 3 | 176 | 12.39 |
| Martin Haardt | 4 | 3531 | 311.32 |