Title :
Rapidly convergent “superresolving” direction finders of noise radiation sources in adaptive arrays
Author :
Lekhovytskiy, David I. ; Shifrin, Y.S. ; Atamanskiy, Dmytro V.
Author_Institution :
Kharkiv Nat. Univ. of Radio Electron., Kharkiv, Ukraine
Abstract :
For a number of known "superresolving" algorithms intended for direction-finding of point sources of noise radiation, we compare the requirements to the size of training sample in the estimates of input signals\´ covariance matrix. We discuss the reasons of the distinctions between the analyzed algorithms, and propose new kinds of methods with improved robustness to the finite sample size.
Keywords :
adaptive antenna arrays; radio direction-finding; adaptive arrays; covariance matrix; direction-finding; finite sample size; noise radiation sources; point sources; rapidly convergent superresolving direction finders; superresolving algorithms; training sample; Algorithm design and analysis; Antenna theory; Signal resolution; Signal to noise ratio; Spatial resolution; Vectors; “ALF-bank”; adaptive lattice filter; combined direction finding; maximum likelihood estimate; sample size; spectral functions; statistical analysis; statistical and non-statistical resolution criteria; super resolution methods for DoA estimation;
Conference_Titel :
Antenna Theory and Techniques (ICATT), 2013 IX International Conference on
Conference_Location :
Odessa
Print_ISBN :
978-1-4799-2896-5
DOI :
10.1109/ICATT.2013.6650679
