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电信和无线电工程
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

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电信和无线电工程

DOI: 10.1615/TelecomRadEng.v51.i4.120
pages 79-82

Quasi-Optimum Algorithm for Radioholographic System Antenna Self-Focusing for reception as to Single Target with Its Location Evaluation in the Presence of Additive and Multiplicative Disturbances

N. I. Matyukhin
V. Karazin National University of Kharkiv, 4, Svoboda Sq., Kharkov; N Zhukovski National Aerospace University “KhAI”, 17, Chkalov St., Kharkiv, 61070, Ukraine

ABSTRACT

Idea of the wave phase-front smoothing over the continuous space of antenna elements is presented in paper [1]. Signal phase values at each element are assumed to be known but a finding algorithm for the values is not described. The antenna self-focusing problem is resolved in papers [2,3] as a problem of target detecting and its location fixing under phase disturbance conditions. However, a set of nonlinear integral equations must be resolved in this case that is a challenging task. Furthermore, field correlation properties must be preset, but they remain unknown in actual practice.
In a number of papers [4 and others] the sufficiently simple algorithms were synthesized for target coordinates measuring under phase disturbance conditions. But the algorithms are optimum only in the event that the disturbances are small, and this condition may be not satisfied in practice.
Let us consider a simple algorithm that is based on the radiogologram (of the recorded field) smoothing over the antenna elements space and that does a priori not require the signal amplitude and phase correlational properties. The restrictions are not imposed on the phase disturbances level. The smoothing of the field recorded at the each reception element is retained in the algorithm of the main optimum operation. During the holographic processing (hologram recording and image reconstruction), the Fresnel-Kirchhoff s formulae are used that contain only one variable to be determined, i.e. the target location. In that case there is no need to determine the zeroth, first and second signal phase derivates. Thus algorithm fits naturally into wave field holographic processing pattern and operates on real signals.


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