Active-passive pulse noise radar of the 3mm range and the results of preliminary tests

Nikolay Ruzhentsev, Oleg Gribsky, Sergey Maltsev, Sergey Shevchuk, Vladimir Pavlikov, Gleb Cherepnin, Simeon Zhyla, Eduard Tserne

Abstract


The subject of this manuscript is broadband noise signals and systems. The aim of this research is to show the results of a modern active-passive 3-mm waveband system consisting of a noise-pulsed radar and a radiometer. Noise radar systems (NRS) based on broadband signals are characterized by high resolution, accuracy, and information content when performing unambiguous measurements of the range and speed of targets, as well as increased electromagnetic compatibility and noise immunity. These distinctive features of NRS determine the relevance of their construction for practical tasks of short- and medium-range radar. Additional opportunities for ensuring secrecy, reliability of detection of objects, and their tracking are provided by the combination of active and passive location modes in conjunction with advancement to the short-wave part of the millimeter (MM) wave band (WB). The most important characteristic of any pulsed radar, which largely determines its potential for practical application, is the operating frequency, as well as the shape and width of the probing signal spectrum. The main idea of this work is to describe the construction scheme and the results of preliminary tests of the developed active-passive system in the 94 GHz band with a noisy 20–100 ns illumination pulse in the 5 GHz band. The obtained values of the energy potential of the system in the active location mode (-105 dB) and the achieved radiometer sensitivities in the passive mode (0.007K and 0.03K) make it possible to observe ground and air objects at a distance of several kilometres. Noted that the measured parameters of the radar, in the case of processing the received signal by pulse compression methods, make it possible to count on ensuring the resolution of targets in range at the level of 10-15 cm. A multiple (more than an order of magnitude) decrease in the interference fluctuations of the received signal, which is due to the facet nature of the backscattering of targets, has experimentally demonstrated using a noise probing pulse compared to a single-frequency pulse. The methods for further work on the development and practical application of the constructed measuring system are outlined.

Keywords


noise radar; active-passive systems; broadband noise signals; millimetre range; radiometers

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References


Oloumi, D., Winter, R. S. C., Kordzadeh, A., Boulanger, P., & Rambabu, K. Microwave imaging of breast tumor using time-domain UWB circular-SAR technique. IEEE transactions on medical imaging, 2020, vol. 39, no. 4, pp. 934-943. DOI: 10.1109/TMI.2019.2937762.

Schantz, H. The art and science of ultrawideband antennas. Boston, Artech House Publ., 2015. 563 p.

Oloumi, D. Ultra-wideband synthetic aperture radar imaging: Theory and applications. Edmonton, Department of Electrical and Computer Engineering University of Alberta, 2016. 179 p.

Hunziker, P., Morozov, O.V., Volosyuk, O.V., Volosyuk, V. K., & Zhyla, S. S. Improved method of optical coherence tomography imaging. 2016 IEEE International conference on mathematical methods in electromagnetic theory (IEEE MMET-2016), 2016, pp. 421-424. DOI: 10.1109/MMET.2016.7544109.

Luong, D., Balaji, B., & Rajan, S. A closed-form estimate for the correlation coefficient of noise-type radars. 2022 IEEE Radar Conference (RadarConf22), 2022, pp. 1-5. DOI: 10.1109/RadarConf2248738.2022.9764192.

Ankel, M., Jonsson, R., Bryllert, T., Ulander, L. M. H., & Delsing, P. Bistatic noise radar: Demonstration of correlation noise suppression. IET Radar, Sonar and Navigation, 2023, vol. 17, iss. 3, pp. 351-361. DOI: 10.1049/rsn2.12345.

Feghhi, R., Oloumi, D., & Rambabu, K. Design and development of an inexpensive sub-nanosecond gaussian pulse transmitter. IEEE transactions on microwave theory and techniques, 2019, vol. 67, no. 9, pp. 3773–3782. DOI: 10.1109/TMTT.2019.2918298.

Pavlikov, V., Volosyuk, V., Shmatko, O., Zhyla, S., Tserne, E., & Dyomin, A. Signal processing algorithm for noise noncoherent wideband helicopter altitude radar. 2022 IEEE 16th international conference on advanced trends in radioelectronics, telecommunications and computer engineering (TCSET-2022), 2022, pp. 457-461. DOI: 10.1109/TCSET55632.2022.9767086.

Bräunlich, N., Wagner, C. W., Sachs, J., & Galdo, G. D. Configurable Pseudo Noise. Radar Imaging System Enabling Synchronous MIMO Channel Extension. Sensors, 2023, vol. 23, iss. 5, article no. 2454. DOI: 10.3390/s23052454.

Narayanan, R. M. Noise Radar Techniques and Progress. Chapter 9 in Advanced Ultrawideband Radar: Signals, Targets, and Applications. Boca Raton: CRC Press, 2016, pp. 323–361. DOI: 10.1201/9781315374130-10.

Kim, E., Kim, I., Han, S., Lee, J., & Shin, S. A Wideband Noise Radar System Using a Phased Array with True Time Delay. Remote Sens, 2022, vol. 14, iss. 18, article no. 4489. DOI: 10.3390/rs14184489.

Chapursky, V. V., Sablin, V. N., Kalinin, V., & Vasilyev, I. A. Wideband random noise short range radar with correlation processing for detection of slow moving objects behind the obstacles. Tenth International Conference on Ground Penetrating Radar (GPR 2004), 2004, pp. 199-202. DOI: 10.1109/ICGPR.2004.179955.

Ilchenko, M. E., Kalinin, V. I., Narytnyk, T. M., & Didkovski, R. M. Potential performance of the communication systems using autocorrelation reception of shift-keyed noise signals. Telecommunications and radio engineering, 2014, vol. 73, iss. 11, pp. 955–976. DOI: 10.1615/TelecomRadEng.v73.i11.20.

Kalinin, V., Panas, A., Kolesov, V., & Lyubchenko, V. Ultrawideband wireless communication on the base of noise technology. 2006 International conference on microwaves, radar & wireless communications. (MIKON 2006), 2006, pp. 615-618. DOI: 10.1109/MIKON.2006.4345254.

Shin, H. J., Narayanan, R. M., & Rangaswamy, M. Ultrawideband noise radar imaging of impenetrable cylindrical objects using diffraction tomography. International journal of microwave science and technology, 2014, vol. 2014, pp. 1–22. DOI: 10.1155/2014/601659.

Herman, M. A., & Strohmer, T. High-Resolution radar via compressed sensing. IEEE transactions on signal processing, 2009, vol. 57, no. 6, pp. 2275–2284. DOI: 10.1109/TSP.2009.2014277.

Zhyla, S., Volosyuk, V., Pavlikov, V., Vlasenko, D., Borodavka, V., & Pidlisnyi, O. Structural diagram of an aerospace cognitive radar for the earth remote sensing. 2022 12th International conference on dependable systems, services and technologies. (DESSERT-2022), 2022, pp. 1-6. DOI: 10.1109/DESSERT58054.2022.10018767.

Bayat, S., & Daei, S. Separating radar signals from impulsive noise using atomic norm minimization. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, vol. 68, no. 6, pp. 2212-2216. DOI: 10.1109/TCSII.2020.3045226.

Ruzhentsev, N., Zhyla, S., Pavlikov, V., Volosyuk, V., Cherepnin, G., & Kosharskyi, V. UAV radio thermal contrasts in MM and CM wavelength ranges. 2022 IEEE 2nd Ukrainian microwave week. (UKRMW-2022), 2022, pp. 711-715. DOI: 10.1109/UkrMW58013.2022.10037002.

Ruzhentsev, N., et al. Radio-Heat contrasts of UAVs and their weather variability at 12 GHz, 20 GHz, 34 GHz, and 94 GHz frequencies. ECTI transactions on electrical engineering, electronics, and communications, 2022, vol. 20, no. 2, pp. 163–173. DOI: 10.37936/ecti-eec.2022202.246878.

Pavlikov, V., Volosyuk, V., Zhyla, S., Tserne, E., Shmatko, O., & Sobkolov, A. Active-Passive radar for radar imaging from aerospace carriers. 19th International conference on smart technologies (IEEE EUROCON 2021), 2021, pp. 18-24. DOI: 10.1109/EUROCON52738.2021.9535619.

Pavlikov, V., et al. Radar imaging complex with SAR and ASR for aerospace vechicle. Radioelectronic and computer systems, 2021, no. 3, pp. 63–78. DOI: 10.32620/reks.2021.3.06.

Ruzhentsev, N., et al. Block diagram of a multi-frequency radiometric complex for UAV detection in different meteorological conditions. Information and telecommunication sciences, 2021, no. 2, pp. 50–57. DOI: 10.20535/2411-2976.22021.50-57

Ruzhentsev, N., Zhyla, S., Pavlikov, V., Cherepnin, G., Tserne, E., & Kosharskyi, V. Theoretical bases of multi frequency radiometric systems development for UAV detection against the background of atmospheric radiation. 2022 IEEE 16th International conference on advanced trends in radioelectronics, telecommunications and computer engineering (TCSET-2022), 2022, pp. 20–24. DOI: 10.1109/TCSET55632.2022.9766843

Volosyuk, V. K., & Kravchenko, V. F. Statisticheskaya teoriya radiotekhnicheskikh sistem distantsionnogo zondirovaniya i radiolokatsii [Statistical Theory of Radio-Engineering Systems of Remote Sensing and Radar]. Moscow, Fizmatlit Publ., 2008. 704 p.

Liebe, H. J. MPM-An atmospheric millimeter-wave propagation model. International journal of infrared and millimeter waves, 1989, vol. 10, no. 6, pp. 631–650. DOI: 10.1007/BF01009565.

Martellucci, A., Rastburg, B.A., Poiares Baptista, J. P. V., & Blarzino, G. New reference standard atmospheres based on numerical weather products Abstracts of International Workshop (ClimDiff), 2003, clim. 1.

Riva, C., Martellucci, A., Kubista, E., Chonhuber, M., & Luini, L. ERA-15 climatological databases for propagation modeling. Proc. of International Conf. (ClimDiff '05), 2005, pp. 12.1-12.7.

Xu, X., & Narayanan, R. M. Impact of different correlation receiving techniques on the imaging performance of UWB random noise radar. 2003 IEEE international geoscience and remote sensing symposium (IGARSS 2003), 2003, pp. 4525–4527. DOI: 10.1109/IGARSS.2003.1295568.

Uss, M., et al. Image informative maps for estimating noise standard deviation and texture parameters. EURASIP journal on advances in signal processing, 2011, vol. 2011, no. 1, article no. 806516. DOI: 10.1155/2011/806516.

Lukin, V. V. Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics. Journal of applied remote sensing, 2011, vol. 5, no. 1, article no. 053502. DOI: 10.1117/1.3539768.

Ponomarenko, N. N., Lukin, V. V., Egiazarian, K. O., & Astola, J. T. A method for blind estimation of spatially correlated noise characteristics. IS&T/SPIE Electronic imaging, 2010. DOI: 10.1117/12.847986.

Ostroumov, I., et al. Modelling and simulation of DME navigation global service volume. Advances in space research, 2021, vol. 68, no. 8, pp. 3495–3507. DOI: 10.1016/j.asr.2021.06.027.

Pavlikov, V., Volosyuk, V., Tserne, E., Sydorenko, N., Prokofiev, I., & Peretiatko, M. Radar for aircraft motion vector components measurement. 2022 IEEE 2nd Ukrainian microwave week (UKRMW-2022), 2022, pp. 567-572. DOI: 10.1109/UkrMW58013.2022.10036953.

Zhyla, S., Volosyuk, V., Pavlikov, V., Vlasenko, D., Borodavka, V., & Pidlisnyi, O. Structural diagram of an aerospace cognitive radar for the earth remote sensing. 2022 12th international conference on dependable systems, services and technologies (DESSERT-2022), 2022, pp. 1-6. DOI: 10.1109/DESSERT58054.2022.10018767.

Guerci, J. R. Cognitive radar: the knowledge-aided fully adaptive approach. Boston, Artech House, 2010. 175 p.




DOI: https://doi.org/10.32620/reks.2023.3.04

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