Rapidly convergent “superresolving” direction finders of noise radiation sources in adaptive arrays
DOI:
https://doi.org/10.1109/ICATT.2013.6650679Keywords:
statistical and non-statistical resolution criteria, statistical analysis, spectral functions, super resolution methods for DoA estimation, maximum likelihood estimate, sample size, adaptive lattice filter, combined direction finding, ALF-bankAbstract
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.References
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