A.V. Zhuravlev1, V.V. Kiryushkin2, V.G. Markin3, A.F. Ivanov4

1-4 JSC RIE “PROTEK” (Voronezh, Russia)

Problem statement. Methods of separation of signals based on various algorithms and principles of signal processing are known. Most of them are complex and computationally intensive.

Purpose. Development of a high-speed non-recursive method for spatial separation of several signals (interference) based on the use of an adaptive antenna array.

Results. An effective method of spatial separation of several signals (interference) based on the use of an adaptive antenna array is proposed. The proposed method is non-recursive, has a high speed and allows to separate signals having the same carrier frequency. This allows, on the one hand, to increase the efficiency of using the frequency resource, and on the other hand, to separate the useful signal and interference arriving at the antenna array from different directions.

Practical significance. The proposed method, implemented in an adaptive antenna array, in practice will ensure the separation of useful signals and interference coming from different directions.

Zhuravlev A.V., Kiryushkin V.V., Markin V.G., Ivanov A.F. Spatial separation of signals using an adaptive antenna array. Radiotekhnika. 2021. V. 85. № 6. P. 141−147. DOI: https://doi.org/10.18127/j00338486-202106-20 (In Russian)

1. Zhu Xiaolong, Zhang Xianda, Ye Jimin. Natural gradient-based recursive least-squares algorithm or adaptive blind source separation. Science in China Ser. F Information Sciences. 2004. V. 47. № 1. Р. 55-65.
2. Malyhin V.M., Merkusheva A.V. Adaptivnye metody i algoritmy razdelenija smesi signalov s nezavisimymi kompo-nentami. Nauchnoe priborostroenie. 2010. T. 20. № 3. S. 35–48 (In Russian).
3. Merkusheva A.V., Malyhina G.F. Metody i algoritmy razdelenija smesi signalov. I. Primenenie dekorreljacii i statistik vtorogo porjadka. Nauchnoe priborostroenie. 2009. T. 19. № 2. S. 90–103 (In Russian).
4. Malyhin V.M., Merkusheva A.V. Metody i algoritmy razdelenija smesi signalov. II. Primenenie M-gradienta k analizu nezavisimyh komponent // Nauchnoe priborostroenie. 2009. T. 19. № 4. S. 83–95 (In Russian).
5. Frost III. Algoritm linejno-ogranichennoj obrabotki signalov v adaptivnoj reshetke. TIIJeR. 1972. T. 60. № 8. S. 5-14 (In Russian).
6. GLONASS. Principy postroenija i funkcionirovanija. Izd. 4-e. Pod red. A.I. Perova, V.N. Harisova. M.: Radio-tehnika. 2010 (In Russian).
7. Patent 2722413. Ustrojstvo i sposob prostranstvennogo razdelenija signalov. Markin V.G., Shuvaev V.A., Krasov E.M. Zajavl. 16.10.2019. Opubl. 29.05.2020, Bjul. №16. 14 s. (In Russian).
8. Beklemishev D.V. Dopolnitel'nye glavy linejnoj algebry. M.: Nauka. Gl. redakcija fiz.-mat. literatury. 1983. 336 s. (In Russian).
9. Petrov V.P. Algoritmy ocenki prostranstvennogo spektra v adaptivnyh cifrovyh antennyh reshetkah. Vestnik SibGUTI. 2011. №.  S. 60-70 (In Russian).