Algorithm of Low-Flying Target Tracking in Monopulse Radar Stations Based on a Unscented Kalman Filter

Using the model of multipath propagation of radio waves and the method of unscented Kalman filtering, a nonlinear adaptive algorithm for tracking low-flying targets in a monopulse radar station has been developed. This algorithm, in contrast to the extended Kalman filter, makes it possible to compensate for significant autocorrelated interference in measurements of the elevation angle of low-flying targets, arising from reflections of radio waves from the underlying surface. The results of simulation of the proposed algorithm are presented.