350 rub
Journal Achievements of Modern Radioelectronics №9 for 2022 г.
Article in number:
Possibility of using a microwave photonic link in a phase direction finder of the microwave range under dynamic temperature effects
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700784-202209-03
UDC: 621.396.62
Authors:

A.S. Podstrigaev1, A.V. Smolyakov2, A.S. Lukiyanov3

1–3 Electronic Instrumentation at V.I. Ulyanov (Lenin) SPbGETU «LETI» (St. Petersburg, Russia)

Abstract:

The means of RF spectrum management and cognitive radio systems use direction finding. These means are often installed on various carriers. Some carrier designs require signal processing equipment to be installed at a considerable distance from the antenna system. For example, on board an aircraft, the antennas can be located in the wings, and the processing equipment in the fuselage, at a distance of up to tens of meters. When transmitting a signal from antennas to equipment via a microwave cable, this leads to significant signal losses and, accordingly, a decrease in the sensitivity of the direction finder. Therefore, it is advisable to use a multichannel microwave photonic link (MPL) to maintain sensitivity when there is significant separation of antennas and processing equipment. However, with a sharp change in the temperature of the environment in which the radio direction finder operates (for example, when the aircraft flight altitude changes), the group delay time of the MPL channels can vary in different ways. This leads to an unpredictable change in the phase difference between the signals in the MPL channels. So, the accuracy of the phase or correlation direction finding reduces. Such a change is inertial and causes a gradual accumulation of a systematic direction finding error. One can eliminate this error by periodic calibration of the direction finder.

This work aims to study the possibility of using a microwave photonic link in a phase radio direction finder under dynamic temperature effects.

We assembled a test bench to assess the effect of temperature on the MPL. It consisted of a vector network analyzer and a two-channel MPL placed in a climatic chamber. Each channel of the MPL includes an optical modulator, a piece of optical fibre and a photodetector. Due to the limitations of the operation of the vector network analyzer, we performed all measurements in three narrow frequency subranges: 0,01–0,1, 9,9–10 and 17,9–18 GHz, corresponding to the studied frequency range from 0,01 to 18 GHz and the operating frequency range of the used MPL's components. Each subband's number of measurement points was set to 101, corresponding to a frequency resolution of 1 MHz.

Using specialized software, we obtained the time dependencies of the difference in the group delay time in the MPL channels as a result of the experiment. These dependencies correspond to room temperature and cases of sharp heating and cooling of the MPL.

An analysis of the obtained experimental data showed that the most significant and rapid changes in the difference in the group delay time of the MPL channels correspond to sharp cooling. The maximum modulo rate of change of this difference reached 0,43 ps/s.

Based on the data obtained, using the example of a two-antenna radio interferometer, we calculated the maximum allowable period of direction finder calibration, which ensures that the systematic error is kept within the specified limits. In the example of this interferometer, we confirmed the possibility of using a microwave photonic link in a phase direction finder of the microwave range under dynamic temperature effects. The percentage of useful information lost during the calibration is estimated. We revealed the expediency of increasing the identity of the MPL channels and taking some constructive measures.

Pages: 55-65
For citation

Podstrigaev A.S., Smolyakov A.V., Lukiyanov A.S. Possibility of using a microwave photonic link in a phase direction finder of the microwave range under dynamic temperature effects. Achievements of modern radioelectronics. 2022. V. 76. № 9. P. 55–65. DOI: https://doi.org/ 10.18127/j20700784-202209-03 [in Russian]

References
  1. Zhao Y., Huang J., Wang W., Zaman R. Detection of primary user's signal in cognitive radio networks: Angle of Arrival based approach. IEEE Global Communications Conference. 2014. P. 3062–3067. Doi: 10.1109/GLOCOM.2014.7037275.
  2. Dhope T.S., Simunic D., Dhokariya N., Pawar V., Gupta B. Performance analysis of angle of arrival estimation algorithms for dynamic spectrum access in cognitive radio networks. International Conference on Advances in Computing, Communications and Informatics (ICACCI). 2013. P. 121–126. Doi: 10.1109/ICACCI.2013.6637157.
  3. Fu X., Sidiropoulos N.D., Ma W., Tranter J. Blind spectra separation and direction finding for cognitive radio using temporal correlation-domain ESPRIT. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2014. P. 7749–7753. Doi: 10.1109/ICASSP.2014.6855108.
  4. Rembovskiy A.M., Ashikhmin A.V., Koz'min V.A. Radiomonitoring – zadachi, metody, sredstva. Izd. 2-e. M.: Goryachaya liniya–Telekom. 2010. [in Russian]
  5. Nguen V. Monitoring sudokhodstva v pribrezhnykh morskikh rayonakh poluaktivnoy radiolokatsionnoy sistemy s ispol'zovaniem signalov podsveta sputnikovogo bazirovaniya. Izvestiya vysshikh uchebnykh zavedeniy Rossii. Radioelektronika. 2022. № 25(1). S. 6–16. https://doi.org/10.32603/1993-8985-2022-25-1-6-16. [in Russian]
  6. Joshi G., Nam S., Kim S. Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends. Sensors. Aug. 2013. V. 13. № 9. P. 11196–11228. Doi: 10.3390/s130911196.
  7. Yanbin S., Zhongji T., Xu L. The Application of the Cognitive Radio in the Aviation Communication Spectrum Management. Physics Procedia. 2012. V. 25. P. 1720–1725. Doi: 10.1016/j.phpro.2012.03.301.
  8. Podstrigaev A.S., Smolyakov A.V., Maslov I.V. Probability of Pulse Overlap as a Quantitative Indicator of Signal Environment Complexity. Izvestiya vysshikh uchebnykh zavedeniy Rossii. Radioelektronika. 2020. № 23(5). S. 37–45. DOI: 10.32603/1993-8985-2020-23-5-37-45.
  9. Voskoboynikov M.A., Podstrigaev A.S., Davydov V.V. Modelirovanie i otsenka vetrovykh vozdeystviy na parashyutiruemyy modul' radiomonitoringa. Trudy MAI. 2019. № 104. Rezhim dostupa: http://trudymai.ru/published.php?ID=102392. [in Russian]
  10. Kailasam M., Sankararajan R., Rajendran H. Improved Collaborative Spectrum Sensing Scheme for Maritime Cognitive Radio. Indian Journal of Geo-Marine Sciences. 2021. V. 50. № 8. P. 603–612.
  11. Suchański M., Kaniewski P., Matyszkiel R., Gajewski P. Dynamic spectrum management in Legacy Military Communication Systems. Military Communications and Information Systems Conference (MCC). 2012. P. 1–5.
  12. Jacob P., Sirigina R.P., Madhukumar A.S., Prasad V.A. Cognitive Radio for Aeronautical Communications: A Survey. IEEE Access. V. 4. P. 3417–3443. 2016. Doi: 10.1109/ACCESS.2016.2570802.
  13. Microwave cable assemblies. HUBER+SUHNER, 2022. [Online]. Available: https://literature.hubersuhner.com/Technologies/Radiofrequency/ MicrowavecabelesEN/. [Accessed: 09-Feb-2022].
  14. Podstrigaev A.S., Lukiyanov A.S., Smolyakov A.V. i dr. O tselesoobraznosti ispol'zovaniya volokonnoopticheskoy linii svyazi v razlichnykh skhemakh priemnogo trakta kompleksa radiomonitoringa. Sb. trudov ITNT-2019. Samara: Novaya tekhnika. 2019. S. 146–152. [in Russian]
  15. Group and Phase Delay Measurements with Vector Network Analyzer ZVR (Application Note 1EZ35 1E). Rohde & Schwarz, 10-Jul-1997. [Online]. Available: https://scdn.rohde-schwarz.com/ur/pws/dl_downloads/dl_application/application_notes/1ez35/ 1ez35_1e.pdf. [Accessed: 09-Feb-2022].
  16. Refai H.H., Sluss J.J., Refai H.H., Atiquzzaman M. Comparative study of the performance of analog fiber optic links versus free-space optical links. Optical Engineering. V. 45. № 2. P. 025003. Feb. 2006.
  17. 10 MHz – 18 GHz SCM FIBER OPTIC LINK. Narda-MITEQ. [Online]. Available: https://nardamiteq.com/docs/MITEQ-SCML-100M18G.PDF. [Accessed: 09-Feb-2022].
  18. Kupriyanov A.I., Perunov Yu.M. Radioelektronnaya bor'ba v informatsionnykh kanalakh. M., Vologda: Infra-Inzheneriya. 2021. [in Russian]
Date of receipt: 06.07.2022
Approved after review: 21.07.2022
Accepted for publication: 30.08.2022