Оценка Интервала Фиксации Пространственного Весового Вектора При Последовательной Пространственно-Временной Обработке Сигналов На Фоне Комбинированных Помех

Рябуха, Вячеслав Петрович; Рачков, Дмитрий Сергеевич; Семеняка, Андрей Викторович; Катюшин, Евгений Анатольевич

doi:10.20535/s0021347012100020

Cited by 5 publications

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“…The most complicated mode of radar operation is the case of simultaneous (combined) exposure to active and passive noise interference. At simultaneous exposure the passive inference that has spatially distributed spectrum, destroys spatial signal correlation of signals [1][2][3] that affects significantly on the radio location station noise immunity of point sources of active interference. This results in significant worsening in the noise immunity of the radar.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Losses in Jammers Compensation at the Training Sample Formation by the Frequency Method

Пиза

Романенко

Moroz

et al. 2018

Information and Telecommunication Sciences

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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.

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Section: Introductionmentioning

confidence: 99%