In recent research on AA theory one of the major issues is elaboration of methods for estimation of spatial spectrum of noise sources that could lower constraints of antenna's resolution stipulated by its limited aperture. List of the proposed up to now “superresolution” methods of spectral estimation is extremely long [1–6] and all-time continues to be supplemented.But criteria and substantiations used for synthesis and analysis of these methods are rather heterogeneous, and conclusions on their efficiency and advantages are often based on either unrealistic assumptions about exact knowledge of the covariance matrix (CM) in array outputs or on “visual impressions [16]” about the forms of output effects realizations obtained by simulations
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
The problem of estimating the distribution of energy arriving at an array as a function of bearing i...
Special attention has been given to “super-decisive” methods of spectral estimation [1–15] in the li...
Array processing for spatial spectrum estimation is reexamined from the vector space viewpoint with ...
Improved spectral estimation techniques hold promise for becoming a valuable asset in adaptive proce...
Many factors existing in practical applications may limit the performance potential of a superresolu...
Six methods are considered in the analysis of the methods of angular superresolution of the signals:...
Six methods are considered in the analysis of the methods of angular superresolution of the signals:...
The development of array processing methods to extract the useful characteristics of acoustic source...
The results of theoretical analysis of super resolution of light sources using antenna arrays with t...
I' 17. DISTRIBUTION STATEMENT (of the Abstract en~tered In Block 20. It different ftr.m Report)...
For a number of known "superresolving" algorithms intended for direction-finding of point sources of...
Many sophisticated high-resolution methods have been proposed. The study describes the practical exp...
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
The problem of estimating the distribution of energy arriving at an array as a function of bearing i...
Special attention has been given to “super-decisive” methods of spectral estimation [1–15] in the li...
Array processing for spatial spectrum estimation is reexamined from the vector space viewpoint with ...
Improved spectral estimation techniques hold promise for becoming a valuable asset in adaptive proce...
Many factors existing in practical applications may limit the performance potential of a superresolu...
Six methods are considered in the analysis of the methods of angular superresolution of the signals:...
Six methods are considered in the analysis of the methods of angular superresolution of the signals:...
The development of array processing methods to extract the useful characteristics of acoustic source...
The results of theoretical analysis of super resolution of light sources using antenna arrays with t...
I' 17. DISTRIBUTION STATEMENT (of the Abstract en~tered In Block 20. It different ftr.m Report)...
For a number of known "superresolving" algorithms intended for direction-finding of point sources of...
Many sophisticated high-resolution methods have been proposed. The study describes the practical exp...
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
The problem of estimating the distribution of energy arriving at an array as a function of bearing i...
Special attention has been given to “super-decisive” methods of spectral estimation [1–15] in the li...