2008 International Conference on Microwave and Millimeter Wave Technology 2008
DOI: 10.1109/icmmt.2008.4540627
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Robust adaptive beamforming based on maximum likelihood estimation

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Cited by 9 publications
(10 citation statements)
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“…The adaptive algorithm is designed to adapt efficiently in agreement with the environment and able to permanently preserve the desired frequency response in the look direction while minimizing the output power of the array. The combined form of the constraint is called constraint for narrowband beamforming [7], [14], [15].…”
Section: A Adaptive Beamforming Stagementioning
confidence: 99%
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“…The adaptive algorithm is designed to adapt efficiently in agreement with the environment and able to permanently preserve the desired frequency response in the look direction while minimizing the output power of the array. The combined form of the constraint is called constraint for narrowband beamforming [7], [14], [15].…”
Section: A Adaptive Beamforming Stagementioning
confidence: 99%
“…The definition of the complex weights of this beamformer in the mth iteration for user q i, in the jth path is as follows [13], [15], [16].…”
Section: A Adaptive Beamforming Stagementioning
confidence: 99%
“…The adaptive algorithm is designed to adapt efficiently in agreement with the environment and able to permanently preserve the desired frequency response in the look direction while minimizing the output power of the array. The combined form of the constraint is called constraint for narrowband beamforming [20], [22].…”
Section: Constrained Lms Algorithmmentioning
confidence: 99%
“…The expected output power of the array in the n th iteration is given by A real-time CLMS algorithm for determining the optimal weight vector for user q i, in the j th path is [22], [23]: …”
Section: Constrained Lms Algorithmmentioning
confidence: 99%
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