Multi-sensor ISAR techniques for motion estimation of pitching, rolling and yawing targets

This paper addresses the problem of the estimation of the rotation motion of a target interested by roll, pitch and yaw. In a previous work it was proved that the exploitation of ISAR data acquired by multiple sensors located with angular separations among them lying on the same plane greatly improves the accuracy of the estimation of the rotation motion component normal to the sensors baseline with respect to the single sensor case. In this work we consider a joint multi-aspect multi-grazing formation of sensors and exploit the multi-sensor data to estimate the three components of the rotation motion. Both model based and model free estimation techniques are proposed and the Cramer Rao Bound is derived. The provided performance analysis shows the effectiveness of the proposed approach for both constant and sinusoidal motions.