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Volume 28 Issue 12
Aug.  2010
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Li Hong-sheng, He You, Yang Ri-jie, Tang Xiao-ming. A New Blind Beamforming for Non-Gaussian Signals with Arbitrary Kurtosis[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2259-2262.
Citation: Li Hong-sheng, He You, Yang Ri-jie, Tang Xiao-ming. A New Blind Beamforming for Non-Gaussian Signals with Arbitrary Kurtosis[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2259-2262.

A New Blind Beamforming for Non-Gaussian Signals with Arbitrary Kurtosis

  • Received Date: 2005-03-28
  • Rev Recd Date: 2005-09-19
  • Publish Date: 2006-12-19
  • A new blind beamforming algorithm for non-Gaussian signals with arbitrary kurtosis is presented in this paper. Based on Kurtosis Maximization Algorithm (KMA), a new cost function is defined by introducing the cross-correlation of two signals. This method can estimate the weights of beamformers blindly by maximizing the new cost function, so as to separate the multitargets and find the direction. At the same time, a Genetic Algorithm (GA) with complex encoding is used to compute the weight vectors, which not only avoids the local extremum but also improves the computing speed. Simulation proves correctness of this algorithm.
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  • Wu Q, Wong K M. Blind adaptive beamforming forcyclostationary signals[J].IEEE Trans. on SP.1996, 44(11):2768-2779[2]Dogan M C, Mendel J M. Cumulant-based blind optimumbeamforming.IEEE Trans. on AES, 1994, 30(3): 722-741.[3]Agee B G. Blind separation and capture of communication signalsusing a multitarget constant modulus beamformers. Proc. IEEEMilitary Commun. Conf., Boston, 1989, 10: 19.2.1-19.2.7.[4]Ding Z, Tuan Nguyen. Stationary points of a kurtosismaximization algorithm for blind signal separation and antennabeamforming[J].IEEE Trans. on SP.2000, 48(6):1587-1596[5]李洪升, 赵俊渭, 陈华伟. 一种新的多目标盲波束形成方法研究[J].电子与信息学报.2003, 25(9):1180-1186浏览
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