Probability characteristics of air target maneuver indicator based on phase difference estimates accelerating convergence

The work deals with determining the probability characteristics of the indicator maneuvering air target based on the phase difference estimates of convergence acceleration for the subsequent use of its information in the filtering algorithms, built on the basis of the theory of systems with random jump-like structure.

The aim of the work is to develop an algorithm indicating maneuver aerial target, which provides an assessment of convergence acceleration during the observation target within one radar contact with her for the correction of the filter structure auto-tracking and evaluation of its effectiveness at a small signal to noise ratio.

To achieve this in the article proved method for determining the probability of erroneous measurement of acceleration of convergence of the algorithm provides: time-division into two equal-length signal multiplication of these two signals and the formation of the correlation function, the peak position is in the frequency domain corresponds to the speed of convergence. The problem of determining the probability characteristics of phase difference algorithm is reduced to finding the probability of exceeding the maximum absolute value of noise correlation function in the frequency domain. Integrating the joint probability density of noise and the maximum value of the correlation function to determine the probabilistic characteristics of the indicator.

The results of simulation, which indicate a high noise immunity of the indicator, due to the coherent processing of the received signal, and low lag time determined by a radar contact with the object and calculate the time correlation function in frequency domain.