Description
Book SynopsisRobust Adaptive Beamforming assembles and presents the latest development on robust adaptive beamforming research. Only recently have some methods with a clear theoretical background been proposed, which, unlike the early methods, make explicit use of an uncertainty set of the array steering vector.
Table of ContentsContributors.
Preface.
1. Robust Minimum Variance Beamforming (R. Lorenz & S. Boyd).
2. Robust Adaptive beamforming Based on Worst-Case Performance Optimization (A. Gershman, et al.).
3. Robust Capon Beamforming (J. Li, et al.).
4. Diagonal Loading for Finite Sample Size Beamforming: An Asymptotic Approach (X. Mestre & M. Lagunas).
5. Mean-Squared Error Beamforming for Signal Estimation: A Competitive Approach (Y. Eldar & A. Nehorai).
6. Constant Modulus Beamforming (A. van der Veen & A. Leshem).
7. Robust Wideband Beamforming (E. Di Claudio & R. Parisi).
Index.
