Title :
Sparse iterative adaptive approach with application to source localization
Author :
Rowe, Wayne ; Jian Li ; Stoica, Petre
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
Abstract :
The iterative adaptive approach (IAA) is a spectral estimation algorithm that provides high resolution estimates with as little as a single snapshot. However, IAA is not a sparsity promoting algorithm which might be desirable in specific applications. In this work, we present two approaches for producing sparse IAA estimates. We examine the performance using a source localization example.
Keywords :
direction-of-arrival estimation; iterative methods; signal classification; IAA; source localization; sparse iterative adaptive approach; spectral estimation algorithm; Arrays; Covariance matrices; Detectors; Estimation; Iterative methods; Matching pursuit algorithms; Vectors;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location :
St. Martin
Print_ISBN :
978-1-4673-3144-9
DOI :
10.1109/CAMSAP.2013.6714041
