Angular Superresolution of the Antenna-Array Signals Using the Root Method of Minimum Polynomial of the Correlation Matrix
- 作者: Ermolayev V.T.1, Flaksman A.G.1, Elokhin A.V.1, Shmonin O.A.1
- 
							隶属关系: 
							- N. I. Lobachevsky State University of Nizhny Novgorod
 
- 期: 卷 61, 编号 3 (2018)
- 页面: 232-241
- 栏目: Article
- URL: https://journals.rcsi.science/0033-8443/article/view/243875
- DOI: https://doi.org/10.1007/s11141-018-9884-5
- ID: 243875
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详细
We propose a new variant of the superresolution method of minimum polynomial of the correlation matrix for estimating the number and angular coordinates of the closely located sources of the signals recorded by the antenna array. The method ensures the direction finding of the sources by determining roots of the denominator of the pseudospectral function (the root method). Special attention is paid to the cases of strongly correlated signal sources and a short sample of the input process when the number of samples is smaller than that of array elements. The efficiencies of the angular superresolution for the root and spectral variants of the method of minimum polynomial, as well as the root MUSIC (MUltiple SIgnal Classification) method are compared.
作者简介
V. Ermolayev
N. I. Lobachevsky State University of Nizhny Novgorod
														Email: flak2402@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Nizhny Novgorod						
A. Flaksman
N. I. Lobachevsky State University of Nizhny Novgorod
							编辑信件的主要联系方式.
							Email: flak2402@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Nizhny Novgorod						
A. Elokhin
N. I. Lobachevsky State University of Nizhny Novgorod
														Email: flak2402@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Nizhny Novgorod						
O. Shmonin
N. I. Lobachevsky State University of Nizhny Novgorod
														Email: flak2402@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Nizhny Novgorod						
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