Horizontally UCA DOA estimation performance via spatial averaging

Authors:
YaoQing Hou;Hui Chen;Man Zhao
Affiliations:
School of Electronic and Mechanical Engineering, Wuhan University of Technology, China,Science and Technology on Electronic Control Laboratory, China;Science and Technology on Electronic Control Laboratory, China,Key Research Lab. Radar Academy, Wuhan, China;Science and Technology on Electronic Control Laboratory, China,Key Research Lab. Radar Academy, Wuhan, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

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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.