Translational velocity estimation by means of bistatic isar techniques

In the last years significant effort has been dedicated to prove that increased information and/or better performance can be retrieved in radar and radar imaging using a network of cooperating sensors. In this paper, data acquired by two Inverse Synthetic Aperture Radar sensors observing a target from different points of view in the long range surveillance operative case is exploited to estimate both radial and cross-radial components of a target's translational motion. Simulated objective functions prove the feasibility of the proposed techniques, confirmed by the analysis of the results of their application against real data acquired by the Radar Sensor Network installed at the NATO Centre for Maritime Research and Experimentation.