An adaptive filtering algorithm of maneuvering target motion parameters due to Pulse-Doppler radar

Abstract

Introduction. Beside the spatial coordinates of the target, Pulse-Doppler radar measures its radial velocity, which allows effective selection of moving targets, as well as their tracking. In solving problems of secondary processing of radar data due to the Pulse-Doppler radar the parameters of maneuvers which the target makes are usually unknown. Therefore the synthesis of an adaptive trajectory filtering is of great practical importance. In this article optimal and quasi-optimal adaptive filtering algorithms of the maneuvering target motion parameters due to the Pulse-Doppler radar are synthesized on the base of a mixed Markov processes apparatus in discrete time. Problem statement. The system model of maneuvering target in the cartesian coordinate system and the linearized measurement equation are presented. Theoretical justification. In this section optimal and quasi-optimal adaptive filtering algorithms of the maneuvering target motion parameters are synthesized. Their implement device belongs to a class of devices with feedback between the channels. The algorithms also calculate posterior probabilities of the maneuvers types. Simulation results. Analysis of the quasi-optimal adaptive algorithm is carried out as an example of tracking maneuvering targets with three types of maneuvers using the statistical modeling. Conclusions. The actual target location errors are in good agreement with the errors calculated adaptive filter. The developed algorithm can correctly identify types of motion with a high probability.