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Algorithm for air density estimation by measuring parameters of test body movement based on the criteria of the minimum of generalized work functional

The article presents an algorithm for air density estimation by measuring test body movement parameters, based on the criteria of minimum of the generalized work functional. Air density estimation is based on Tikhonov's method of reverse problems regularization. The generalized work functional is used as the regularizing functional. Recommendations for applying a variant of the algorithm with usage of the predictive model are also compiled. The article also includes the comparison of the method with the Calmann filter. The results of modeling the estimation process assuming vertical movement of test body are included.