Target tracking with adaptive sampling intervals using multiple maneuver model

Since a phased array radar can direct the radar beam in any direction without physically moving radar antenna, it can perform adaptive sampling of the target trajectory. Proper control of the radar can improve the tracking performance. We propose the method of adaptively adjusting the sampling rate based on error covariance of the multiple maneuver model (M³) algorithm which is an effective technique for tracking maneuvering targets. Simulation results show that proposed algorithm determines the sampling interval adapted to the changing target dynamics. The Monte Carlo simulation results have demonstrated the effectiveness of the proposed algorithm in reduction of the radar resources