Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Direction finding with L1-norm subspaces

Markopoulos Panagiotis, Tsagkarakis N.

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/42362066-AD79-4D95-9A0E-AC7A961890CE
Έτος 2014
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά P. P. Markopoulos, N. Tsagkarakis, D. A. Pados, and G. N. Karystinos, “Direction finding with L1-norm subspaces,” in Proc. SPIE Compressive Sensing Conference, SPIE Defense, Security, and Sensing (DSS '14), doi:10.1117/12.2053049 https://doi.org/10.1117/12.2053049
Εμφανίζεται στις Συλλογές

Περίληψη

Conventional subspace-based signal direction-of-arrival estimation methods rely on the familiar L2-norm-derived principal components (singular vectors) of the observed sensor-array data matrix. In this paper, for the first time in the literature, we find the L1-norm maximum projection components of the observed data and search in their subspace for signal presence. We demonstrate that L1-subspace direction-of-arrival estimation exhibits (i) similar performance to L2 (usual singular-value/eigen-vector decomposition) direction-of-arrival estimation under normal nominal-data system operation and (ii) significant resistance to sporadic/occasional directional jamming and/or faulty measurements.

Υπηρεσίες

Στατιστικά