I.S. Ashurkov1, N.A. Leshko2, A.N. Grachev3, A.V. Kadykov4, D.S. Krotov5

1, 2, 4, 5 Yaroslavl Higher Military School of Air Defense (Yaroslavl, Russia)
3 Central Instrumentation Design Bureau (Tula, Russia)

1 ivan_ashurkov1@mail.ru, 2 nikolai_zru@mail.ru, 3 rts10@cdbae.ru, 4 kadykovanton76@yandex.ru, 5 krotoff.07@mail.ru

To increase the detection efficiency of small-sized targets, for example, unmanned aerial vehicles, it is necessary to increase the signal-to-noise ratio, either by changing the energy of potential radar stations (radars), which requires significant design modifications of the radar transmitting and receiving devices, or by increasing the time of accumulation of information obtained over several surveys space. This can be achieved by using multi-view processing methods based on TBD (Track-Before-Detect)-technology with the use parametric Hough and Radon transformations of the results primary processing radar information, in an additional program channel of radar processing.

The aim of the work is to reveal the essence the method detection of small-size targets using parametric transformations in conditions of low values of signal-to-noise ratio and to evaluate its quality indicators (probability of correct detection and false alarm) by modeling.

The results of modeling calculations show that when using the new method in the additional program channel of the radar, the probability of detection of small-sized unmanned aerial vehicles is increased and the range of their detection is increased by 10–25% on average in conditions of low signal-to-noise ratio, which is several units.

Ashurkov I.S., Leshko N.A., Grachev A.N., Kadykov A.V., Krotov D.S. Method of detecting small-sized targets with using parametric transformations in conditions of low values of signal-to-noise ratio. Achievements of modern radioelectronics. 2024. V. 78. № 9. P. 27–33. DOI: https://doi.org/10.18127/j20700784-202409-03 [in Russian]

1. Ashurkov I.S., Leshko N.A., Timoshenko A.V. Sovremennoe sostoyanie i perspektivy razvitiya mnogoobzornykh metodov traektornoj obrabotki radiolokatsionnoj informatsii pri ispol'zovanii TBD-tekhnologij. Vestnik vozdushno-kosmicheskoj oborony. 2022. № 3 (35). S. 50–61. [in Russian]
2. Konovalov A.A. Osnovy traektornoj obrabotki radiolokatsionnoj informatsii. Ch. 1. SPb.: SpbGU. 2013. [in Russian]
3. Bar-Shalom Y., Blair W.D. Multitarget multisensor tracking: Applications and advances. NY: Artech House. 2000.
4. Patent № 2732916 RF. Kompleksnyj obnaruzhitel' pryamolinejnoj traektorii vozdushnogo ob''ekta v prostranstve s is-pol'zovaniem preobrazovaniya Khafa. S.A. Zhitkov, N.A. Leshko, I.S. Ashurkov i dr. Opubl. 24.09.2020. Byul. № 27. [in Russian]
5. Patent № 2776417 RF. Kompleksnyj obnaruzhitel' krivolinejnykh traektorij vozdushnykh ob''ektov s ispol'zovaniem parametricheskikh preobrazovanij. N.A. Leshko, I.S. Ashurkov, A.V. Kadykov i dr. Opubl. 19.07.2022. Byul. № 20. [in Russian]
6. Patent № 2806448 RF. Sposob obnaruzheniya manevriruyushchikh malorazmernykh vozdushnykh ob''ektov s ispol'zovaniem parametricheskikh preobrazovanij i ustrojstvo dlya ego realizatsii. N.A. Leshko, I.S. Ashurkov, A.V. Kadykov i dr. Opubl. 01.11.2023. Byul. № 31. [in Russian]
7. Monakov A.A. Obnaruzhitel' dvizhushchejsya tseli dlya radiolokatsionnogo priemnika na osnove algoritma Khafa. Sb. dokladov konf. «RLNC 2014». 2014. S. 1584–1594. [in Russian]
8. Ashurkov I.S., Kadykov A.V., Zhitkov S.A. Model' protsessa obnaruzheniya traektorii manevriruyushchej malorazmernoj tseli s ispol'zovaniem parametricheskikh preobrazovanij v obzornoj RLS. V kn. Radiolokatsiya. Teoriya i praktika. Pod red. A.B. Blyakhmana. M.: YuNITI-DANA. 2023. S. 348–363. [in Russian]
9. Zhitkov S.A., Ashurkov I.S., Leshko N.A. i dr. Imitatsionnaya model' protsessa obnaruzheniya aerodinamicheskikh tselej na osnove parametricheskikh preobrazovanij v mnogopozitsionnoj lokatsionnoj sisteme. Uspekhi sovremennoj radioelektroniki. 2020. № 12. S. 32–44. [in Russian]
10. Ashurkov I.S., Zhitkov S.A., Leshko N.A. i dr. Rezul'taty eksperimenta po obnaruzheniyu krivolinejnoj traektorii aerodinamicheskoj tseli v mnogopozitsionnoj lokatsionnoj sisteme v usloviyakh nizkikh znachenij otnosheniya signal-shum. Uspekhi sovremennoj radioelektroniki. 2020. T. 74. № 4–5. S. 48–60. [in Russian]
11. Bao Z., Zhang C., Li J. Nautical radar clutter suppression and small target detection based on image spectrum filtering and Hough transform. The Journal of Engineering. 2019. V. 2019. № 11. P. 8098–8102. DOI: 10.1049/joe.2019.0752.
12. Yan B., Xu N., Zhao W.-B., Xu L.-P. A three-dimensional Hough transform-based track-before-detect technique for detecting extended targets in strong clutter backgrounds. Sensors. 2019. V. 19. № 881. DOI: 10.3390/s19040881.
13. Tatuzov A.L. Nejronnye seti v zadachakh radiolokatsii. Kn. 28. M.: Radiotekhnika. 2009. [in Russian]