Title :
ML estimation of SSR signals, identifiability, and Cramer-Rao Bounds
Author :
Petrochilos, Nicolas ; Comon, Pierre
Author_Institution :
I3S-CNRS, Algorithmes, 2000 route des Lucioles, BP.121, F-06903 Sophia-Antipolis
Abstract :
In this article, a Maximum Likelihood method is applied to Secondary Surveillance Radar (SSR) signals impinging on an M-element antenna. At base-band, a SSR signal consists of a binary signal with alphabet {0,1} multiplied by a complex exponential. Identifiability is proved in this binary case, and specific Cramer-Rao Bounds are derived and assessed.
Conference_Titel :
Signal Processing Conference, 2000 10th European
Print_ISBN :
978-952-1504-43-3
