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Volume 30 Issue 2
Jan.  2011
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Yan Song-hua, Wu Shi-cai, Wu Xiong-bin. DOA Estimation Based on Neural Network for HFGWR[J]. Journal of Electronics & Information Technology, 2008, 30(2): 339-342. doi: 10.3724/SP.J.1146.2006.01096
Citation: Yan Song-hua, Wu Shi-cai, Wu Xiong-bin. DOA Estimation Based on Neural Network for HFGWR[J]. Journal of Electronics & Information Technology, 2008, 30(2): 339-342. doi: 10.3724/SP.J.1146.2006.01096

DOA Estimation Based on Neural Network for HFGWR

doi: 10.3724/SP.J.1146.2006.01096
  • Received Date: 2006-07-28
  • Rev Recd Date: 2007-03-23
  • Publish Date: 2008-02-19
  • Direction of Arrival (DOA) technology based on neural network is discussed. In the paper, the DOA method based on function approach and model classification with coding is presented and it employs two kinds of neural networks: Radial Basis Function Network(RBFN) and General Regression Neural Net (GRNN). The paper introduces the network structure, simulation and the application to High Frequency Ground Wave Radar(HFGWR). The simulation and real data processing verifies that the model classification method based on GRNN offers better performance than others, its performance is good even the signal-to-noise of the signal is low until 4 dB.
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