Abstract
In this paper, a direction-of-arrival (DOA) estimation method for resolving correlation by spatial averaging algorithm based on the horizontally Uniform Circular Array (UCA) is presented. The ambiguity resolution method is proposed for the appearing of the third-order ambiguity on the horizontally UCA. Restructuring the covariance matrix of the received data again, the angle of the sub-arrays will be changed. Finally, the DOA estimation performance of the new algorithm is studied, including the effects of the Signal-to-Noise Ratio (SNR) and the numbers of the snapshots to the performance and further analyzes the effects of imperfections, such as amplitude error and the phase error.
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© 2012 Springer-Verlag Berlin Heidelberg
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Hou, Y., Chen, H., Zhao, M. (2012). Horizontally UCA DOA Estimation Performance via Spatial Averaging. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_67
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DOI: https://doi.org/10.1007/978-3-642-33478-8_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33477-1
Online ISBN: 978-3-642-33478-8
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