Efficient Network Training Method for Two-Dimension DOA Estimation

CC
CIT
2004
Fourth International Conference on Computer and Information Technology (CIT'04)
Abstract - Efficient Network Training Method for Two-Dimension DOA Estimation

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Fourth International Conference on Computer and Information Technology (CIT'04)

Wuhan, China

September 14-September 16

ISBN: 0-7695-2216-5

	ASCII Text	x
	Hongguang Chen, Biao Li, Zhenkang Shen, "Efficient Network Training Method for Two-Dimension DOA Estimation," Computer and Information Technology, International Conference on, pp. 1028-1032, Fourth International Conference on Computer and Information Technology (CIT'04), 2004.

	BibTex	x
	@article{ 10.1109/CIT.2004.1357331, author = {Hongguang Chen and Biao Li and Zhenkang Shen}, title = {Efficient Network Training Method for Two-Dimension DOA Estimation}, journal ={Computer and Information Technology, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2216-5}, pages = {1028-1032}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357331}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Information Technology, International Conference on TI - Efficient Network Training Method for Two-Dimension DOA Estimation SN - 0-7695-2216-5 SP1028 EP1032 A1 - Hongguang Chen, A1 - Biao Li, A1 - Zhenkang Shen, PY - 2004 KW - null VL - 0 JA - Computer and Information Technology, International Conference on ER -

Hongguang Chen, National University of Defense Technology

Biao Li, National University of Defense Technology

Zhenkang Shen, National University of Defense Technology

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357331

Training set is very large in two-dimensional (2D) direction estimation which prevents neural network from being widely used in 2D DOA estimation. A dimension-degraded training (DDT) method is proposed in this paper to reduce the training set. In the DDT method, elevation and azimuth are estimated in two separate neural networks respectively. We construct two 1-dimensional training sets that are much smaller than the original 2-dimensional one while keeping the high resolution of angle. Simulations show the validity of the proposed method.

Citation:

Hongguang Chen, Biao Li, Zhenkang Shen, "Efficient Network Training Method for Two-Dimension DOA Estimation," cit, pp.1028-1032, Fourth International Conference on Computer and Information Technology (CIT'04), 2004

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