Кафедра мікропроцесорних технологій і систем (МТС)

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Optimizing Data Processing in Identification Friend or Foe Systems
(Telecommunications and Radio Engineering, 2022) Zavоlоdkо, G. E.; Обод, І. І.; Свид, І. В.
This paper proposes, in accordance with the Neyman−Pearson criterion, an optimal framework of data processing in airborne object detection by identification friend or foe (IFF) systems with due regard to the current IFF system design as a single-channel fault-tolerant queuing system, which dictates multichannel reception of request signals and imposes limitations on aircraft transponder availability factor. We consider two signal-processing models with two alternative implementations in each one: (1) cross-channel merging of previous channel decisions on tracking either request signals or their impulse components and (2) either preliminary or subsequent inter-period processing of response signals. Data processing is optimized for both temporal and spatial request signal parameters, the aircraft transponder availability factor also being considered. The preliminary inter-channel merging of request/response signal-pulse component detection results proves to be preferable to the current algorithm of subsequent merging request/response signal detection results as this procedure improves the quality of signal detection and reduces the dependence of detection probability on the aircraft transponder availability factor.