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Volume 25 Issue 9
Sep.  2003
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Li Hongsheng, Zhao Junwei, Chen Huawei, Wang Feng, Guo Yecai . Study on new blind beamforming for multitargets[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1180-1186.
Citation: Li Hongsheng, Zhao Junwei, Chen Huawei, Wang Feng, Guo Yecai . Study on new blind beamforming for multitargets[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1180-1186.

Study on new blind beamforming for multitargets

  • Received Date: 2002-03-18
  • Rev Recd Date: 2002-10-23
  • Publish Date: 2003-09-19
  • A new blind beamforming algorithm for multitargets is presented in this paper. This method can estimate the weights of beamformers blindly by minimizing a new cost function based on least-squares constant modulus algorithm so as to separate the multitargets and find the direction. At the same time, a developed neural network is used to compute the inverse of a matrix, which not only improve the computing speed but also use easily hardware to carry out the blind beamforming. Simulation proves correctness of this algorithm.
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  • L.C. Godara, Application of antenna arrays to mobile communications, Part Ⅱ: beam-forming and direction-of-arrival considerations, Proc. IEEE, 1997, 85(8), 1195-1245.[2]Q. Wu, K. M. Wong, Blind adaptive beamforming for cyclostationary signals, IEEE Trans. on SP, 1996, SP-44(11), 2768-2779.[3]M.C. Dogan, J. M. Mendel, Cumulant-based blind optimum beamforming, IEEE Trans. on AES,1994, AES-30(3), 722-741.[4]B.G. Agee, Blind separation and capture of communication signals using a multitarget constant modulus beamformers, Proc. IEEE Military Commun. Conf., Boston, 1989, 10, 19.2.1-19.2.7.[5]D. Tank, J. J. Hopfield, Simple neural optimization network: an A/D converter, signal decision circuit, and a linear programming circuit, IEEE Trans. on Circuit and Systems, 1988, 33(5),533-541.
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