Unified framework for two robust beamforming methods
Huanxiang Liu, Guisheng Liao, Yongjun Xie, J. Zhang
Abstract
Huanxiang Liu, Guisheng Liao, Yongjun Xie, J. Zhang
Abstract
Robust beamforming plays a key role in adaptive beamforming. Double constraint robust Capon beamforming (DCRCB) and subspace-DCRCB (S-DCRCB) are investigated. It is shown that both robust beamforming approaches could be unified to a single one by using the power of R (POR) method. One more powerful robust beamforming, called m-DCRCB, is achieved, which simultaneously has the advantages of the two other robust beamforming approaches. Simulation results indicate that the m-DCRCB approach converges to the S-DCRCB one.
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Robust beamforming plays a key role in adaptive beamforming. Double constraint robust Capon beamforming (DCRCB) and subspace-DCRCB (S-DCRCB) are investigated. It is shown that both robust beamforming approaches could be unified to a single one by using the power of R (POR) method. One more powerful robust beamforming, called m-DCRCB, is achieved, which simultaneously has the advantages of the two other robust beamforming approaches. Simulation results indicate that the m-DCRCB approach converges to the S-DCRCB one.
Key concepts: Capon, Beamforming, Adaptive beamformer, Computer science, Key (lock), Subspace topology, Constraint (computer-aided design), Robustness (evolution)