Article or book title, author's surname, DOI

Efficiency of detection of an ultra-wideband signal of unknown shape with unknown moments of appearance and disappearance of the signal received against the background of narrowband interference and Gaussian white noise

P.A. Trifonov1, N.N. Ahmad2

research article UDC 621.396 Pages: 48-57 doi.org/10.18127/j00338486-202202-06

  1. 1,2 MESC AF "Air Force Academy named after prof. N.E. Zhukovsky and Yu.A. Gagarin" (Voronezh, Russia)

Abstract

Statement of the problem. A large number of applied problems in radio physics is associated with the need to assess the efficiency of receiving signals with unknown times of appearance and disappearance. At present, algorithms for the functioning of narrow-band means of detecting signals with unknown parameters are well studied. With the advent of RES with ultra-wideband signals (UWBS), it became necessary to develop new algorithms for processing such signals.

Purpose. Improving the efficiency of UWBS detection in the presence of interference and a priori uncertainty.

Results. An algorithm for detecting ultra-wideband signals of unknown shape with unknown moments of appearance and disappearance in the presence of Gaussian white noise and Gaussian narrow-band interference has been developed.

Practical significance. The developed algorithm makes it possible to evaluate quantitative indicators of the efficiency of the equipment for detecting ultra-wideband signals in various conditions of a signal-interference environment and in the presence of a priori un-certainty.

Received
08.12.2021
Approved after review
23.12.2021
Accepted
12.01.2022

How to cite

Трифонов П.А., Ахмад Н.Н. Эффективность обнаружения сверхширокополосного сигнала неизвестной формы с неизвестными моментами появления и исчезновения, принимаемого на фоне узкополосных помех и гауссовского белого шума // Радиотехника. 2022. Т. 86. № 2. С. 48−57. DOI: https://doi.org/10.18127/j00338486-202202-06

References
  1. Trifonov A.P., Korchagin Ju.Je. Priem signalov s neizvestnymi momentami pojavlenija ischeznovenija. Radiofizika. 2017. S. 4‒41 (In Russian).
  2. Amiantov I.N. Izbrannye voprosy statisticheskoj teorii svjazi. M.: Sovetskoe radio. 1971. 416 s. (In Russian).
  3. Bakuta P.A. Teorija obnaruzhenija signalov. M.: Sovetskoe radio. 1984. 440 s. (In Russian).
  4. Radzievskij V.G., Trifonov P.A. Obrabotka sverhshirokopolosnyh signalov i pomeh. M.: Radiofizika. 2009. 288 s. (In Russian).
  5. Ventcel' V.S., Ovrarov L.A. Teorija verojatnostej i ee inzhenernye prilozhenija. M.: Nauka. 1988. 480 s. (In Russian).
  6. Middlton D. Vvedenie v statisticheskuju teoriju svjazi. V 2-h tomah. T. 2. Per. s angl. M.: Sovetskoe radio. 1962. 832 s. (In Russian).
  7. Ventcel' V.S. Teorija verojatnostej. M.: Nauka. 1998. 575 s. (In Russian).
  8. Tihonov V.I. Optimal'nyj priem signalov. M.: Sovetskoe radio. 1985. 320 s. (In Russian).