A Novel Direction Finding Algorithm Using ICA with Uniform Circular Array
- https://doi.org/10.2991/csic-15.2015.58How to use a DOI?
- Direction finding, Independent component analysis, Uniform circular array
In this paper, a novel algorithm for two-dimensional angle estimation with uniform circular array (UCA) based on independent component analysis (ICA) is proposed. First the linear mixed signals are separated by ICA. Then, separated signals are used to waveform matching filter with the original mixed-signal. Next, The array manifold is obtained with permutation and scaling problems, using the first rows to divide every rows, and using angle algorithm to the modify manifold matrix, obtain the angle information by the least mean square algorithm, thus pair-marching for elevation and azimuth automatically. Finally, Monte Carlo simulations show the effectiveness of the proposed method.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wanchun Li AU - Yingxiang Li PY - 2015/07 DA - 2015/07 TI - A Novel Direction Finding Algorithm Using ICA with Uniform Circular Array BT - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication PB - Atlantis Press SP - 244 EP - 247 SN - 2352-538X UR - https://doi.org/10.2991/csic-15.2015.58 DO - https://doi.org/10.2991/csic-15.2015.58 ID - Li2015/07 ER -