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Volume 31 Issue 9
Dec.  2010
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Zhang Min, Li Peng-fei. A Broadband Direction of Arrival (DOA) Estimation Approach Based on Hierarchy Neural Networks[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2118-2122. doi: 10.3724/SP.J.1146.2008.01269
Citation: Zhang Min, Li Peng-fei. A Broadband Direction of Arrival (DOA) Estimation Approach Based on Hierarchy Neural Networks[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2118-2122. doi: 10.3724/SP.J.1146.2008.01269

A Broadband Direction of Arrival (DOA) Estimation Approach Based on Hierarchy Neural Networks

doi: 10.3724/SP.J.1146.2008.01269 cstr: 32379.14.SP.J.1146.2008.01269
  • Received Date: 2008-10-06
  • Rev Recd Date: 2009-05-13
  • Publish Date: 2009-09-19
  • A novel intelligent DOA estimation technique for broadband signals is proposed, which transfer the problem of DOA estimation into a large mount of data intelligent learning and recognition problem. The upper triangular half of the correlation matrix of knowing direction signals is extracted to form training set. This paper used region direction detection neural network and DOA estimation neural networks to estimate DOA for unknown signal. The main advantage of this new approach is dramatic reduction the size and complex of the training set required for each smaller neural network. The specific steps are presented. The simulation results show the DOA estimation technique for broadband signals has very high precision, and effectiveness for future application.
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