Multi-sensor ISAR technique for translational motion estimation

In the last years a lot of interest has grown concerning the exploitation of data acquired by multiple sensors belonging to multistatic or Multiple Input Multiple Output systems. Indeed increased information and/or better performance can be retrieved using a network of cooperating sensors. In this paper, data acquired by a pair of Inverse Synthetic Aperture Radar sensors is exploited to estimate both radial and cross-radial components of a target's translational motion. The target is observed from different points of view in the long range surveillance operative case. The simulated cost function of the estimation procedure is used to show the feasibility of the proposed technique, confirmed by the analysis of the results of its application against real data acquired by the Radar Sensor Network installed at the NATO Centre for Maritime Research and Experimentation. © 2015 IEEE.