Sequential target tracking based on local trajectory parameters estimation in Rayleigh clutter

In this paper we propose and describe the algorithm of sequential target tracking based on local trajectory parameters estimation. The target backscattering model is Swerling III signal model, while the clutter model is Swerling I signal model. In accordance with the target and sensor models probability distribution used for modeling interference is a Rayleigh distribution, and for modeling signal the Rice distribution was used. Full target trajectory is formed by sequential joining local tracks at every scan and filtering its parameters using Kalman filter technique.