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SONG Tao, HUANG Qiang-nian, WEI Shi-bo, LI Guang-xia. Study of MCG-CMA Algorithm Based on Conjugate Gradient Method[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(4): 511-514.
Citation: SONG Tao, HUANG Qiang-nian, WEI Shi-bo, LI Guang-xia. Study of MCG-CMA Algorithm Based on Conjugate Gradient Method[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(4): 511-514.
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Study of MCG-CMA Algorithm Based on Conjugate Gradient Method

  • 1.

    Institute of Communications Engineering of PLA University of Science and Technology Nanjing 210007

  • Received Date: 2007-01-25
  • Rev Recd Date: 2007-05-19
  • Publish Date: 2008-08-15
  • This paper presents and analyzes a constant modulus algorithm (CMA) adaptive beamforming algorithm which is based on conjugate gradient method. This algorithm focuses on a new technique for data block modificatory method with conjugate gradient, and overcomes the shortcoming of traditional CMA algorithms, such as slow convergence speed or vast complexity. An analysis is given to find the misadjustments performance in MCG-CMA algorithm with different sampling length. Computer simulations show that the algorithm has better convergence performance and better signal to interference plus noise ratio (SINR) capability than LS-CMA and SCG-CMA algorithm.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Study of MCG-CMA Algorithm Based on Conjugate Gradient Method

  • 1. Institute of Communications Engineering of PLA University of Science and Technology Nanjing 210007
  • Received Date: 2007-01-25
  • Rev Recd Date: 2007-05-19
  • Publish Date: 2008-08-15

Abstract: This paper presents and analyzes a constant modulus algorithm (CMA) adaptive beamforming algorithm which is based on conjugate gradient method. This algorithm focuses on a new technique for data block modificatory method with conjugate gradient, and overcomes the shortcoming of traditional CMA algorithms, such as slow convergence speed or vast complexity. An analysis is given to find the misadjustments performance in MCG-CMA algorithm with different sampling length. Computer simulations show that the algorithm has better convergence performance and better signal to interference plus noise ratio (SINR) capability than LS-CMA and SCG-CMA algorithm.

SONG Tao, HUANG Qiang-nian, WEI Shi-bo, LI Guang-xia. Study of MCG-CMA Algorithm Based on Conjugate Gradient Method[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(4): 511-514.
Citation: SONG Tao, HUANG Qiang-nian, WEI Shi-bo, LI Guang-xia. Study of MCG-CMA Algorithm Based on Conjugate Gradient Method[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(4): 511-514.
shu

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