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Low-complexity robust beamforming based on conjugate gradient techniques | IEEE Conference Publication | IEEE Xplore

Low-complexity robust beamforming based on conjugate gradient techniques


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...Show More

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.
Date of Conference: 24-25 February 2011
Date Added to IEEE Xplore: 05 April 2011
ISBN Information:
Conference Location: Aachen, Germany

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