Title :
A state space approach to joint AOA and period estimation for a class of periodic discrete event processes
Author :
Elton, Stephen D. ; Slocumb, Benjamin J.
Author_Institution :
Electron. Res. Lab., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Abstract :
We examine the utility of a state space approach to pulse train signal modelling and address the problem of jointly estimating the angle of arrival (AOA) and periodicity of an intercepted radar pulse train signal. Kalman filter based techniques are developed and the mean square error performance of the estimators evaluated for two separate state space models. Robust methods are also suggested and implemented for dealing with the problem of false and missing pulses
Keywords :
Kalman filters; array signal processing; direction-of-arrival estimation; discrete event systems; radar signal processing; state-space methods; AOA; Kalman filter based techniques; angle of arrival; false and missing pulses; intercepted radar pulse train signal; mean square error performance; missing pulses; period estimation; periodic discrete event processes; pulse train signal modelling; state space approach; Jitter; Laboratories; Radar; Robustness; Sensor arrays; Signal processing; Space technology; State estimation; State-space methods; Surveillance;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608426
