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The article deals with the estimation of the radial velocity when using a coherent burst of radio pulses as applied to the presence of correlated fluctuations of the initial phases in the radio pulses reflected from the target. The accuracy of the measurement of the burst frequency is evaluated for case of coordinated processing without taking into account the phase fluctuations. The signals at the input of the radar's receiver is an additive mixture of signals reflected from the targets, and uncorrelated Gaussian noise, that is the assumption of investigating. It is assumed, that the phase fluctuations of the received radio pulses bursts are distributed according to normal probability laws with zero mean, and correlations of phase fluctuations decrease with exponential or alternating, sign-variable laws by increasing interval between radio pulses within the bursts. This analysis makes it possible to determine the conditions under which the complication of the processing algorithm for this radar signal is considered justified. K e ywor d s : coherent pulse radar; burst of radio pulses; phase fluctuations; radial velocity; Gaussian noise; radar surveillance; optimization efficiency.

We are considering a problem of the measurement of the dispersion of the random pulse signal with unknown time of arrival against the white noise and the correlated Gaussian interference. By applying a maximum likelihood method, we synthesize quasi-optimal, quasi-likelihood and adaptive estimation algorithms. We also find out the theoretical and experimental dependences for the characteristics of the obtained dispersion estimates that are then used in the study of the efficiency of the introduced algorithms and in the further investigation revea-6936 O.V. Chernoyarov et al. ling the loss in estimation accuracy, due to the absence of the prior information on intensity of operational interferences. We are to show that, with the adaptation in terms of intensity of the correlated interference, it is possible to obtain the dispersion estimate independent from the intensity of white noise, and its characteristics coincide asymptotically with the corresponding characteristics of the dispersion estimate, obtained under the a priori known intensities of interference and white noise.

Quasi-likelihood and maximum likelihood estimate algorithms of the amplitude of a radio signal with free-form envelope and unknown duration and initial phase are synthesized. Characteristics of the synthesized algorithms are found. The comparison of the accuracy of amplitude estimates is carried out.

We considered the local Markov approximation method for the definition of the precision characteristics of statistical analysis algorithms of information processes 6268 O. V. Chernoyarov et al. under inconsistent estimate of their unknown discontinuous parameters and in the presence of Gaussian distortions. By two visual examples we illustrated the use of the stated approach in practical applications for the analysis of operating efficiency of detectors and measurers of the quasi-deterministic and random signals.