Monte-Carlo evaluation of digital filters for fire control systems.
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Adaptive techniques are investigated for tracking maneuvering targets from noisy measurements of position coordinates. Two types of adaptive estimators are considered, a Q-generated estimator and a Residual-testing estimator . Monte-Carlo simulation is used to compare the performance of these adaptive estimators to that obtained by using several constant-Q filters.