Ivashko I. Structure and parameters optimization of the radar networks

This thesis is dedicated to the development of solution for an important task of applied science. The goal of this task is an improvement of the radar networks functionality by means of increasing estimation accuracy of the target kinematic parameters using improved method of evaluation potential accuracy of target parameters estimation; and radar networks design using improved method structure and parameters optimization of radar networks with aim to provide required accuracy of target parameters estimation. The statistical method of the evaluation of potential accuracy of kinematic target parameters estimation in radar networks was further developed by means of the development of the model of potential accuracy estimation of time delay and Doppler frequency of the signal in frequency-modulated continuous-wave radar; obtaining mathematical dependencies for evaluation of the potential accuracy of the measurement of a target kinematic parameters in the radar network that consists of FMCW radars. In the thesis, the model that contains weighted parameters, for cost functions, which are evaluated based on covariance matrix and are used in methods of radar networks topology optimization with the aim to provide maximal estimation accuracy of the target parameters of different modalities, was improved. The method of the number and topology optimization of radar networks were further developed by means of: obtaining mathematical dependencies for evaluation of the frame potential and log-determinant cost functions; improvement of the model that contains the weighted estimation parameters for the objective functions, which are evaluated based on the error covariance matrix; the development of the new algorithm of greedy optimization for non-linear measurement model; the development of the new model and greedy algorithm of topology optimization of radar networks, which consists of bistatic radars; further development of the convex optimization algorithms.