Title :
ISAR motion parameter estimation via multilateration
Author :
Brisken, Stefan ; Worms, Josef G.
Author_Institution :
Passive Sensor Syst. & Classification, Fraunhofer Inst. for High Freq. Phys. & Radar Tech., Wachtberg, Germany
Abstract :
One of the main difficulties in Inverse Synthetic Aperture Radar imagery of a maneuvering target is the estimation of its motion parameters from the radar data. In this paper we show how the geometric features of a multistatic radar system can be used to obtain both translational and rotational motion with a multilateration approach. While many monostatic approaches in open literature attempt to estimate parameters for a pre-assumed form of motion, our approach aims to be as general as possible. Capabilities and limitations for several implementation techniques of the multilateration method are examined and illustrated in simulations.
Keywords :
motion estimation; radar imaging; synthetic aperture radar; ISAR motion parameter estimation; geometric features; inverse synthetic aperture radar; multilateration method; rotational motion; translational motion; Accuracy; Azimuth; Estimation; Radar; Receivers; Reflectivity; Trajectory;
Conference_Titel :
Microwaves, Radar and Remote Sensing Symposium (MRRS), 2011
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-9641-9
DOI :
10.1109/MRRS.2011.6053632