I' 17. DISTRIBUTION STATEMENT (of the Abstract en~tered In Block 20. It different ftr.m Report) T~' SJustification__ I&. SUPPLEMENTARY NOTES f tr uc Di stribution/ AvaIlnbtitv Codes I....lland/or I9. KEY WORDS (Continue on rveree eld. I nececey end IdentIfy by block nu.,be,) 1 "t!..Pe jal Adaptive arrays Tracking I Antennas Digital processing A Nonlinear processing,/i, Spectral analysis I.1 1comr 20. ACT (Continue on,ecro. olde if neceeetv n1d Identify by block number)- d'-- ' Modern spectral-estimation techniques have achieved a level of performance that attracts interest in applications areas such as the tracking of multiple spatial sources. In addition to the original "superresolution " capability, ...
Conventional radio direction finding methods suffer a lack in performance under certain configuratio...
Conventional radio direction finding methods suffer a lack in performance under certain configuratio...
large sample maximum likelihood techniques for parameter estimation and detection in array processin...
Improved spectral estimation techniques hold promise for becoming a valuable asset in adaptive proce...
In recent research on AA theory one of the major issues is elaboration of methods for estimation of ...
Array processing for spatial spectrum estimation is reexamined from the vector space viewpoint with ...
Cet article traite le probleme de l'utilisation d'un réseau de M senseurs. Le réseau de senseurs, do...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Abstract—We address the problem of super-resolution line spectrum estimation of an undersampled sign...
Caption title.Includes bibliographical references (p. 55-65).Supported by Army Research Office. DAAL...
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 ...
Contains research objectives and summary of research.Joint Services Electronics Program (Contract DA...
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
For a number of known "superresolving" algorithms intended for direction-finding of point sources of...
Conventional radio direction finding methods suffer a lack in performance under certain configuratio...
Conventional radio direction finding methods suffer a lack in performance under certain configuratio...
large sample maximum likelihood techniques for parameter estimation and detection in array processin...
Improved spectral estimation techniques hold promise for becoming a valuable asset in adaptive proce...
In recent research on AA theory one of the major issues is elaboration of methods for estimation of ...
Array processing for spatial spectrum estimation is reexamined from the vector space viewpoint with ...
Cet article traite le probleme de l'utilisation d'un réseau de M senseurs. Le réseau de senseurs, do...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Abstract—We address the problem of super-resolution line spectrum estimation of an undersampled sign...
Caption title.Includes bibliographical references (p. 55-65).Supported by Army Research Office. DAAL...
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 ...
Contains research objectives and summary of research.Joint Services Electronics Program (Contract DA...
Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is ...
For a number of known "superresolving" algorithms intended for direction-finding of point sources of...
Conventional radio direction finding methods suffer a lack in performance under certain configuratio...
Conventional radio direction finding methods suffer a lack in performance under certain configuratio...
large sample maximum likelihood techniques for parameter estimation and detection in array processin...