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A Broadband Direction of Arrival (DOA) Estimation Approach Based on Hierarchy Neural Networks |
Zhang Min; Li Peng-fei |
Division 309, Electronic Engineering Institute of PLA, Hefei 230037, China; Anhui Electronic Restricting Technique Key Laboratory, Hefei 230037, China |
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Abstract 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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Received: 06 October 2008
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