The intensive maneuverable air targets detection multichannel algorithm for pulse-Doppler onboard radar using the a priori uncertainty of signal frequency deviation

This article is devoted to describing the synthesis intensive maneuverable air targets detection algorithm for pulse-Doppler onboard radar that uses multiple correlative-filtration coherent process with frequent time-frequency grid, taking into account a priori uncertainties on the four parameters of the received signal (pulse duration, delay time, Doppler, frequency deviation), and uses the noncoherent processing based on likelihood ratio method for several recurrence frequency pulses that is, for all time exposure on a fixed phased antenna array directional diagram main beam azimuth-elevation angle position, using the results of observations during previous accumulation intervals to increase the correct detection conditional probability.