Abstract: Comparison of several target tracking algorithms is presented. Na\-mely, discrete noise level adjustment (DNLA), variable state dimension (VSD) and interacting multiple model (IMM) algorithms are discussed. Target trajectory, target models, filtering algorithms and simulation results are given. The cumulative estimation error criterion is used in order to compare the algorithms.
Keywords: Signal processing, adaptive filter, Kalman filter, target tracking, discrete noise level.