Науковий вісник НГУ

Identification and suppression of signals of the rear lobe of the radiation pattern of the radar antenna

• 
• 

User Rating:  / 0

PoorBest 

Details

Category: Content №3 2024

Last Updated on 28 June 2024

Published on 30 November -0001

Hits: 2653

Authors:

B.Imansakipova*, orcid.org/0000-0003-0658-2112, Satbayev University, Almaty, Republic of Kazakhstan, e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

I.Vassilyev, orcid.org/0000-0002-6216-0443, Special Design and Technology Bureau “Granit”, Almaty, Republic of Kazakhstan, e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

Sh.Aitkazinova, orcid.org/0000-0002-0964-3008, Satbayev University, Almaty, Republic of Kazakhstan,  e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

M.Kalipanov, orcid.org/0000-0003-2974-1083,  Institute of Machine Science and Automation of the National Academy of Sciences of Kyrgyz Republic, Bishkek, Kyrgyz Republic, e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

K.Issabayev, orcid.org/0000-0001-5183-3668,  Institute of Machine Science and Automation of the National Academy of Sciences of Kyrgyz Republic, Bishkek, Kyrgyz Republic,  e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (3): 157 - 162

https://doi.org/10.33271/nvngu/2024-3/157

Abstract:

Purpose. Development of a new approach to improving the accuracy of orientation based on radar reflections from local objects and a digital terrain model.

Methodology. The research is based on the theory of radiation, reflection and reception of radar signals. Statistical analysis of a large volume of recorded signals establishes causal relationships between the appearance of “false” reflections formed by the back lobe of the radiation pattern and to develop a computational algorithm for their suppression.

Findings. A method and software that allows detecting and suppressing “false” reflections formed by the rear lobe of the antenna pattern without distorting the reflections created by the main lobe. For this purpose, a criterion has been developed, determined by the ratio of the amplitude of the signal received by the front lobe to the amplitude of the signal recorded by the rear lobe. The criterion allows eliminating the “false” signals without having a priori information about the real radiation pattern using a regulator for the reduction of phantom reflections to an average noise level.

Originality. For the first time, suppression has been carried out of “false” reflections without having a priori information about the real radiation pattern of the radar station antenna, as well as elimination of the loss of informativeness of the real reflection formed by the main lobe.

Practical value. A method is suggested of radar immunity of radar stations is noise immunity due to “false” reflections. The potential of the method and the capabilities of the developed computer program determines the relevance of their capabilities for use by all radar stations at various frequencies, azimuths, ranges and terrain features.

Keywords: radar, directional pattern, rear lobe, “false” landmark, digital terrain model

References.

1. Global digital elevation model ASTER V003 (n.d.). Retrieved from https://search.earthdata.nasa.gov/search/granules?p=C1711961296-LPCLOUD&pg[0][v]=f&pg[0][gsk]=-start_date&fi=ASTER&tl=1705558986!3!!.

2. Earthdata Search/ Earthdata Search (n.d.). Retrieved from https://search.earthdata.nasa.gov/search/?fi=ASTER&tl=1705558986.682!3!!3.

3. Saritha, G., Saravanan, T., Anbumani, K., & Surendiran, J. (2021). Digital elevation model and terrain mapping using LiDAR. International Conference on Materials, Manufacturing and Mechanical Engineering for Sustainable Developments-2020 (ICMSD 2020), 46(9), 3979-3983. https://doi.org/10.1016/j.matpr.2021.02.525.

4. Imansakipova, B. B., Orynbasarova, E. O., Sdvizhkova, O. O., Aitkazinova, S. K., & Shoganbekova, D. A. (2022). A new approach to improving the accuracy of measuring deformations of the earth’s surface using space radar interferometry methods. Proceedings of the international scientific and practical conference, 2, 88-94. Retrieved from https://official.satbayev.university/ru/materialy-satpaevskikh-chteniy.

5. Mahmoud El Nokrashy O. Ali, Lamyaa Gamal EL-Deen Taha, Mostafa H. A. Mohamed & Asmaa A. Mandouh (2021). Generation of digital terrain model from multispectral LiDar using different ground filtering techniques. The Egyptian Journal of Remote Sensing and Space Sciences, 24(2), 181-189 https://doi.org/10.1016/j.ejrs.2020.12.004.

6. Imansakipova, B. B., Vasiliev, I. V., Aitkazinova, Sh. K., & Kalipa­nov, M. M. (2023). Using a digital terrain model to orient a radar antenna system. PROCEEDINGS of the International Scientific and Practical Conference “INTERNATIONAL SATBAYEV CONFERENCE, 1. Almaty 2023. 65-72. https://doi.org/10.51301/ejsu.2022.i6.01.

7. Scannapieco, A. F., Graziano, M. D., Fasano, G., & Renga, A. (2019). Improving radar-based mini-UAS navigation in complex environments with outlier rejection. AIAA Scitech 2019 Forum. Retrieved from https://www.researchgate.net/publication/330196408_Improving_radar-based_mini-UAS_navigation_in_complex_environments_with_outlier_rejection.

8. Scannapieco, A. F., Renga, A., Fasano, G., & Moccia, A. (2017). Ultralight radar for small and micro-UAV navigation. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 42(2W6), 333-338. Retrieved from https://www.researchgate.net/publication/319413337_ULTRALIGHT_RADAR_FOR_SMALL_AND_MICRO-UAV_NAVIGATION.

9. Kavita Devi & Rajneesh Talwar (2017). A Neural Adaptive Circular Array for Enhancing SNR and Reducing Interference. International Journal of Computer Sciences and Engineering, 5(10), 122-127. https://doi.org/10.26438/ijcse/v5i10.122127.

10. Balanis, C. A. (2016). Antenna Theory: Analysis and Design (4^th ed.). ISBN: 978-1-118-64206-1.

11. Dawood, H. S., El-Khobby, H. A., Abd Elnaby, M. M., & Hussein, A. H. (2022). New distributed beamforming techniques based on optimized elliptical arc geometry for back lobe cancellation of linear antenna arrays. Alexandria Engineering Journal, 61(6), 4623-4645. https://doi.org/10.1016/j.aej.2021.10.024.

12. Silveira, E. S., Nascimento, D. C., & Tinoco-S, A. F. (2017). Design of Microstrip Antenna Array with Suppressed Back Lobe. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 16(2). https://doi.org/10.1590/2179-10742017v16i2822.

13. Gu, Yu., Goodman, N. A., Hong, S., & Li, Y. (2014). Robust adaptive beamforming based on interference covariance matrix sparse reconstruction. Signal Processing, 96(Part B), 375-381. https://doi.org/10.1016/j.sigpro.2013.10.009.

14. Chakravorty, P., & Mandal, D. (2016). Grating Lobe Suppression With Discrete Dipole Element Antenna Arrays. IEEE Antennas and Wireless Propagation Letters, 15, 1234-1237. https://doi.org/10.1109/LAWP.2015.2502902.

15. Ding, Z., Chen, J., Liu, H., He, C., &. Jin, R. (2022) Grating Lobe Suppression of Sparse Phased Array by Null Scanning Antenna. IEEE Transactions on Antenn as and Propagation, 70(1), 317-329. https://doi.org/10.1109/TAP.2021.3090573.

16. Prabhakar, D., & Satyanarayana, M. (2019). Side lobe pattern synthesis using hybrid SSWOA algorithm for conformal antenna array. Engineering Science and Technology, an International Journal, 22(6), 1169-1174. https://doi.org/10.1016/j.jestch.2019.06.009.

17. Dawood, H. S., El-Khobby, H. A., Abd Elnaby, M. M., & Hussein, A. H. (2022). A new optimized quadrant pyramid antenna array structure for back lobe minimization of uniform planar antenna arrays. Alexandria Engineering Journal, 61(8), 5903-5917. https://doi.org/10.1016/j.aej.2021.11.018.

18. Ullah, N., Liu, Yu., Ur Rahman, S., Khan, S., & Wang, F. (2024). Design of a compact filter integrated wideband and circularly polarized antenna array for K-band application. Measurement, 225. https://doi.org/10.1016/j.measurement.2023.113978.

19. Jarboua, I., Ammar, N., Aguili, T., & Baudrand, H. (2019). Radiation pattern and scattering parameter for multilayer cylindrical loop antenna using the iterative method WCIP. International Journal of Electronics and Communications, 101, 192-199. https://doi.org/10.1016/j.aeue.2019.01.024.

• < Prev
• Next >