Title :
ML approach to radial acceleration estimation and CRLB computation
Author :
Farina, A. ; Ortenzi, L. ; Timmoneri, L.
Author_Institution :
SELEX-SI, Rome, Italy
Abstract :
The paper analyzes a method to estimate radial acceleration jointly to other target parameters (i.e.: ρ̇ and A). The estimator performance has been analyzed in case of one burst and M burst, in both analytical and simulated ways. To have an exploitable estimate of ρ̈ an accuracy of at least 10 m/s2 is needed. To achieve this level of accuracy very high SNR is needed.
Keywords :
acceleration; maximum likelihood estimation; radar detection; radar signal processing; CRLB computation; Cramer Rao lower bound; ML approach; maximum likelihood estimation; radial acceleration estimation; Acceleration; Europe; Nickel; Signal to noise ratio; Vectors; Zinc;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
