A Novel Direction Finding Algorithm Using ICA with Uniform Circular Array

DOI

10.2991/csic-15.2015.58How to use a DOI?

Keywords

Direction finding, Independent component analysis, Uniform circular array

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/csic-15.2015.58
ID  - Li2015/07
ER  -