1. Podstrigaev A.S. Signal spectrum studying at double frequency conversion / A. S. Podstrigaev, A. V. Smolyakov // Trudy MAI. - 2020. - № 114. - 25 P. - DOI:https://doi.org/10.34759/trd-2020-114-11 EDN: https://elibrary.ru/ZTLGNA
2. Kupryashkin I. F. Spaceborne radar imagery of the Earth’s surface under jamming conditions / I. F. Kupryashkin, V. P. Likhachev. - Voronezh: Nauchnaya kniga, 2014. - 460 p.
3. Li H. DRFM system based on the principle of radar deception/ H. Li, F. Zhao, F. Chen, J. Wang // International Journal of Simulation Systems, Science & Technology. - 2016. - № 17(37). - P.17.1-17.5. - DOIhttps://doi.org/10.5013/IJSSST.a.17.37.17
4. Aseeri M. A. S. Design of DRFM system based on FPGA with high resources / M. A. S. Aseeri, A. A. Alasows, M. R. Ahmad // 2016 11th International Design & Test Symposium (IDT). - Hammamet, 2016. - P. 177-180. - doi:https://doi.org/10.1109/IDT.2016.7843036
5. Olivier K. Modern wideband DRFM architecture and real-time DSP capabilities for radar test and evaluation / K. Olivier, M. Gouws // 2013 Saudi International Electronics, Communications and Photonics Conference. - Fira, 2013. - PP. 1-4. - doi:https://doi.org/10.1109/SIECPC.2013.6551019
6. Strydom J. J. Hardware in the loop radar environment simulation on wideband DRFM platforms / J. J. Strydom, J. E. Cilliers, M. Gouws [et al.] // IET International Conference on Radar Systems (Radar 2012). - Glasgow, UK, 2012. - PP. 1-5. - doi:https://doi.org/10.1049/cp.2012.1687
7. Li. C. -z. Improved Interrupted Sampling Repeater Jamming based on DRFM / C. -z. Li, W. -m. Su, H. Gu [et al.] // 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). - Guilin, 2014. - PP. 254-257. - doi:https://doi.org/10.1109/ICSPCC.2014.6986193
8. Xie M. Design and realization of DRFM system based on FPGA and DSP / M. Xie, J. Huang, Y. Jiang, X. Fu // IET International Radar Conference 2015. - Hangzhou, 2015. - PP. 1-6. - doi:https://doi.org/10.1049/cp.2015.1418
9. Peng Z. Realization of DRFM radar target simulator based on general instruments / Z. Peng // IET International Radar Conference 2015. - Hangzhou, 2015. - PP. 1-8, doi:https://doi.org/10.1049/cp.2015.1470
10. Arjoune Y. Spectrum sensing: Enhanced energy detection technique based on noise measurement / Y. Arjoune, Z. E. Mrabet, H. E. Ghazi,. A. Tamtaoui // 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC). - Las Vegas, NV, 2018. - PP. 828-834. - doi:https://doi.org/10.1109/CCWC.2018.830 1619.
11. Atapattu S. Energy Detection for Spectrum Sensing in Cognitive Radio / S. Atapattu, C. Tellambura, H. Jiang. - New York, NY: Springer New York, 2014. - 83 p.
12. Lyons R. G. Understanding digital signal processing. / R. G. Lyons. - Upper Saddle River, N.J: Prentice Hall, 2011. - 954 pp.
13. Hou B. Design and FPGA Implementation of High-speed Parallel FIR Filters / B. Hou, Y. Yao, M. Qin // 3rd International Conference on Mechatronics, Robotics and Automation. - Shanghai, 2015. - PP. 975-979. - doi:https://doi.org/10.2991/icmra-15.2015.189
14. Vivado Design Suite User Guide: Partial Reconfiguration. - Text : electronic // Xilinx Support. - 2018. - URL: https://www.xilinx.com/support/documentation/sw_manuals/xilinx2018_1/ug909-vivado-partial-reconfiguration.pdf (accessed: 15.10.2021).



