Omelchuk I. Adaptive detection methods of slow-moving radar targets with speed estimation

That thesis is dedicated to improvement of slow-moving targets signals processing by an impulse radar, when an observation time is commensurable with the period of the Doppler-beat frequency oscillation; namely, targets selection and speed estimation. For this purpose according to likelihood methods the adaptive algorithms of a harmonic signal detection in additive mixture with the uncorrelated Gaussian noise and correlated clutter were synthesized. Two quasi-optimal methods of discrete harmonic signal frequency estimation are got on the basis of auto-regression moving average models. The procedure for evaluation of other harmonic signal parameters is offered. They allow to improve the estimate accuracy of an actual target speed and to adaptive target detection procedures. It's proved that the threshold of sensitiveness to slow speed can be decreased by 4 times with respect to standard method. The clutter maps are offered to form by the conveyer stochastic procedures. It shortens a tuning process when the clutter power changes. All results were confirmed by the statistical simulation researches, a pro-gramme complex was worked out for this purpose.