Title :
A recursive weighted minimum norm algorithm: Analysis and applications
Author :
Gorodnitsky, Irina F. ; Rao, Bhaskar D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California at San Diego, La Jolla, CA, USA
Abstract :
Reliable estimation of a highly localized signal from insufficient data is a difficult problem common to many fields. The authors present an iterative weighted norm minimization method that utilizes a posteriori constraints for the estimation of such signals. Analysis is performed to determine the convergence properties and characterize the solutions of the algorithm. The advantages and applications of the approach and the new algorithm are demonstrated using electromagnetic imaging and direction-of-arrival (DOA) estimation problems.<>
Keywords :
constraint theory; convergence of numerical methods; iterative methods; minimisation; recursive functions; signal processing; convergence; direction-of-arrival estimation; electromagnetic imaging; iterative weighted norm minimization; recursive weighted minimum norm algorithm; solutions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319533
