ESTIMATION OF LOSSES IN JAMMERS COMPENSATION AT THE TRAINING SAMPLE FORMATION BY THE FREQUENCY METHOD

Authors

  • Dmytro Piza Doctor of Technical Sciences, Professor of Radio Engineering Department Zaporizhzhia National Technical University, Zaporizhzhia, Ukraine,
  • Serhii Romanenko PhD, Associate Professor of Information Defense Department Zaporizhzhia National Technical University, Zaporizhzhia, Ukraine,
  • Garry Moroz Graduate student of Radio Engineering Department Zaporizhzhia National Technical University, Zaporizhzhia, Ukraine,
  • Dmytro Semenov Scientific – Technical Center, SE “Scientific and production complex “Iskra”, Zaporizhzhia, Ukraine,

DOI:

https://doi.org/10.20535/2411-2976.22018.5-9

Keywords:

adaptive spatial filtering, classified training set, combined disturbance.

Abstract

Background. Under the influence of combined interference, the effectiveness of radar performance significantly deteriorates. This is preconditioned by decorrelation of active noise interference by passive one that has a spatially distributed spectrum. To reduce the influence of passive interference on the active interference compensation process, it is necessary in one way or another
to form a classified training sample generated only by the active interference and to assess the possible losses that arise with this case.
Objective. The aim of the paper is to estimate losses for the case of adaptive spatial filtering of the active component of combined interference in the frequency method of generating a classified training sample.
Methods. Analytical method of losses estimation simultaneously with the method of simulation.
Results. The estimation of losses in compensation of active interference arising for different values of the base and the width of the interference spectrum coming from different angular directions has been made. The losses have been estimated which were preconditioned with introduction of notch filters in the chain for forming the weight factor of the autocompensator are estimated.
Conclusions. The scientific novelty is the possibility to estimate the losses in active interference compensation in spatial signal filtering using the frequency method of classified training sample generation. The practical significance is to provide the possibility to choose parameters of the jamming system when designing the radar.

References

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2018-12-28

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