Parameter Evaluation of Filters for Formation the Plane Wave Front in Radiolocation Stations with Synthesized Aperture

Abstract

The task of achieving the resolution in the bandwidth radar with the increased range synthesis aperture for the purpose of recognizing the targets is relevant at the present time, despite significant achievements in this topic. From the point of view of the recognition of objects to a certain type or class of distinction 0.2-0.3 meters is sufficient to solve this problem. However, the problem of obtaining ultra-distinction in a bandwidth radar station with the increased range synthesis aperture requires solving a number of issues, in particular the evaluation of filter parameters for the formation of a flat wave front in a radars with synthetic aperture. One of the solutions of this problem is the inclusion of additional algorithms for the reflected signal processing, which artificially forms a quasi-flat front of the sounding signal wave. In the current article, the question of the selection and evaluation of filter parameters for the formation of a flat wave front in a radar station with ultra-high resolution is being solved. In order to achieve this goal, the article proposes: - a step-by-step procedure for digital filters calculating; - estimation of the number of samples of digital filters with impulse characteristics of finite length in the channels and the observation band; - estimation of the number of samples of impulse characteristics of filters. For the formation of a quasi-flat wave front in a radar station with the increased range synthesis aperture it is necessary to use digital filters with impulse characteristics of finite length and linear phase characteristics in processing algorithms. From the point of view of obtaining minimal losses in the resolution of radar stations with a synthesized aperture along the traveling distance in the process of artificial formation of the flat front of the sounding signal wave, it is expedient to use Chebyshev approximation of the amplitude-frequency characteristic of optimal filters with a minimax error. The width of the transition band of such filters is much smaller than that of other optimal filters with the same values of the countdowns.