Evaluation of the measurement update interval for an adaptive radar scheduler

This paper presents a technique for determining the radar scheduler update interval. Given the system state-variable model and its statistical data, a matrix expression for the general order predictor error covariance matrix is derived. A cost function of this covariance matrix is solved to regulate the radar's Kalman filter measurement update intervals. Simulation experiments are performed and results presented.