Mathematical Model of Shifted Time of Combined Signal as Part of Fragments with Linear and Quadratic Frequency Modulation

Authors

DOI:

https://doi.org/10.20535/RADAP.2024.97.5-11

Keywords:

nonlinear frequency modulation, quadratic frequency modulation, autocorrelation function, maximum level of side lobes

Abstract

The issues of synthesis of nonlinear-frequency modulated probing signals, which, in comparison with well-known linear-frequency modulated signals, have a lower maximum level of side lobes of the autocorrelation function, have a practical orientation, relate to actual problems of theory and practice of forming signals with intra-pulse modulation for radio electronic means for various purposes.
The paper considers a combined nonlinear-frequency modulated signal consisting of linearly and quadratically-frequency modulated fragments. The peculiarity of the proposed approach to the description of its mathematical model is the introduction of frequency-phase compensation components, which reduces the maximum level of the side lobes of the autocorrelation function of the signal. Calculation of values of compensation components is based on consideration of the effect of derivatives of function of instantaneous phase of fragments up to the most significant order inclusive. The limitation of the method should include the requirement for the existence of their final quantity.
In the first section of the article, an analysis of known studies and publications is carried out, which states that for the mathematical model of shifted time, considered in the work, the proposed method of compensating for frequency-phase distortions has not been previously considered. Therefore, in the second section of the work, the corresponding task of the study is formulated. In order to achieve the formulated task of research, the third section of the work develops a mathematical model of the shifted time of the combined signal, which contains the compensatory components of the specified distortions. The importance of their consideration in the resulting signal is theoretically substantiated and clearly demonstrated.
As a result of the research, the theory of synthesis of combined signals has been developed, the composition and determination of the magnitude of frequency-phase distortions, which are caused by the appearance of the third derivative of the instantaneous phase function of the quadratically-frequency modulated fragment, have been established.
As a direction for further research, it is planned to develop and study a mathematical model of shifted time of a three-fragment combined signal with a quadratically-frequency modulated fragment.

Author Biographies

O. O. Kostyria , Ivan Kozhedub Kharkiv National Air Force University, Kharkiv, Ukraine

Doctor of Technical Sciences, Senior Research Officer, Leading Researcher

A. A. Hryzo , Ivan Kozhedub Kharkiv National Air Force University, Kharkiv, Ukraine

Candidate of Technical Sciences, Docent, Head of the Research Laboratory

Yu. S. Solomonenko , Ivan Kozhedub Kharkiv National Air Force University, Kharkiv, Ukraine

Candidate of Technicai Sciences, Deputy Head of the Faculty

O. M. Dodukh , Ivan Kozhedub Kharkiv National Air Force University, Kharkiv, Ukraine

Candidate of Technical Sciences, Leading Researcher

Ye. V. Biernik , Ivan Kozhedub Kharkiv National Air Force University, Kharkiv, Ukraine

Adjunct of the Scientific and Organizational Department

References

References

Skolnik M. I. (1990). Radar Handbook, Second edition. McGraw-Hill Professional, 1200 p.

Richards M. A., Scheer J. A., Holm W. A. (2010). Principles of modern radar. SciTech Publishing, 924 p.

Cook C. E. and Bernfeld M. (1993). Radar Signals: An Introduction to Theory and Application. Artech House, 552 p.

Levanon N., Mozeson E. (2004). Radar Signals. Hoboken, New Jersey: John Wiley & Sons, Inc., 432 p. DOI: 10.1002/0471663085.

Kostyria O. O., Нryzo A. A., Dodukh O. M., Narezhnyi O. P., Fedorov A. V. (2023). Mathematical model of the current time for three-fragment radar signal with non-linear frequency modulation. Radio Electronics, Computer Science, Control, Vol. 3(66), pp. 17-26. DOI: 10.15588/1607-3274-2023-3-2.

Kostyria O. O., Hryzo A. A., Khudov H. V., Dodukh O. M., Solomonenko Y. S. (2024). Mathematical model of current time of signal from serial combination linear-frequency and quadratically modulated fragments. Radio Electronics, Computer Science, Control, No. 2, pp. 24-33. DOI: 10.15588/1607-3274-2024-2-3.

Kostyria О. О., Hryzo A. A., Khudov H. V., Dodukh O. M., Lisohorskyi B. А. (2024). Two-fragment non-linear-frequency modulated signals with roots of quadratic and linear laws frequency changes. Radio Electronics, Computer Science, Control, Vol. 1(68), pp. 17-27. DOI: 10.15588/1607-3274-2024-1-2.

Niu Q., Zhang X. (2020). Hardware-in-the-loop Simulation of P-band Radar with Stepped Frequency Chirp Signals. J. Microw., Vol. 36, pp. 19–23. DOI:10.14183/j.cnki.1005-6122.202006004.

Septanto H., Sudjana O., Suprijanto D. (2022). A Novel Rule for Designing Tri-Stages Piecewise Linear NLFM Chirp. 2022 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET), IEEE, pp. 62-67. DOI: 10.1109/ICRAMET56917.2022.9991201.

Kavitha C., Valli N. A., Dasari M. (2020). Optimization of two-stage NLFM signal using Heuristic approach. Indian Journal of Science and Technology (INDJST), Vol. 13(44), pp. 4465-4473. doi:10.17485/IJST/v13i44.1841.

Arijit Roy, Harshal B. Nemade, Ratnajit Bhattacharjee. (2021). Radar waveform diversity using nonlinear chirp with improved sidelobe level performance. International Journal of Electronics and Communications, Vol. 136, 153768. DOI: 10.1016/J.AEUE.2021.153768.

Saleh M., Omar S.-M., Grivel E., Legrand P. (2021). A Variable Chirp Rate Stepped Frequency Linear Frequency Modulation Waveform Designed to Approximate Wideband Non-Linear Radar Waveforms. Digital Signal Processing, Vol. 109, 102884. doi: 10.1016/j.dsp.2020.102884.

Adithyavalli N., Rani D. E., Kavitha C. (2019). An Algorithm for Computing Side Lobe Values of a Designed NLFM function. International Journal of Advanced Trends in Computer Science and Engineering, Vol. 8(4), pp. 1026-103. doi:10.30534/ijatcse/2019/07842019.

Yee Kit Chan, Chua Ming Yam, and Voon Koo. (2009). Sidelobes Reduction Using Simple Two and Tri-Stages Non Linear Frequency Modulation (Nlfm). Progress In Electromagnetics Research, Vol. 98, pp. 33-52. doi:10.2528/PIER09073004.

Valli N. A., Rani D. E., Kavitha C. (2019). Modified Radar Signal Model using NLFM. International Journal of Recent Technology and Engineering (IJRTE), Vol. 8, Iss. 2S3, pp. 513-516. doi: 10.35940/ijrte.B1091.0782S319.

Jin G. et al. (2019). An Advanced Nonlinear Frequency Modulation Waveform for Radar Imaging With Low Sidelobe. IEEE Transactions on Geosciences and Remote Sensing, Vol. 57, Iss. 8, pp. 6155–6168. doi:10.1109/TGRS.2019.2904627.

Parwana S., Kumar S. (2015). Analysis of LFM and NLFM Radar Waveforms and their Performance Analysis. International Research Journal of Engineering and Technology (IRJET), Vol. 02, Iss. 02, pp. 334-339.

Ch Anoosha and Krishna B. T. (2022). Peak Sidelobe Reduction analysis of NLFM and Improved NLFM Radar signal with Non-Uniform PRI. Aiub Journal of Science and Engineering (AJSE), Vol. 21, Iss. 2, pp. 125–131. DOI: 10.53799/ajse.v21i2.440.

Ghavamirad R., Sebt M. A. (2019). Side lobe Level Reduction in ACF of NLFM Wave-form. IET Radar, Sonar & Navigation, Vol. 13, Iss. 1, pp. 74-80. DOI:10.1049/iet-rsn.2018.5095.

Alphonse S., Williamson G. A. (2014). Novel radar signal models using nonlinear frequency modulation. 22nd European Signal Processing Conference (EUSIPCO), doi:10.5281/ZENODO.44184.

Jeevanmai R., Rani N. D. (2016). Side lobe Reduction using Frequency Modulated Pulse Compression Techniques in Radar. International Journal of Latest Trends in Engineering and Technology, Vol. 7, Iss. 3, pp. 171-179. doi: 10.21172/1.73.524.

Xu, Z.; Wang, X.; Wang, Y. (2022). Nonlinear Frequency-Modulated Waveforms Modeling and Optimization for Radar Applications. Mathematics, Vol. 10(21), 3939, pp. 1-11. doi: 10.3390/math10213939.

Prakash B. L., Sajitha G., and Rajeswari K. R. (2016). Generation of Random NLFM Signals for Radars and Sonars and their Ambiguity Studies. Indian Journal of Science and Technology, Vol. 9, Iss. 29, pp. 1-7. doi:10.17485/ijst/2016/v9i29/93653.

Valli N. A., Rani D. E., Kavitha C. (2020). Performance Analysis of NLFM Signals with Doppler Effect and Background Noise. International Journal of Engineering and Advanced Technology (IJEAT), Vol. 9, Iss. 3, pp. 737-742. DOI: 10.35940/ijeat.B3835.029320.

Downloads

Published

2024-09-30

How to Cite

Kostyria , O. O., Hryzo , A. A., Solomonenko , Y. S., Dodukh , O. M. and Biernik , Y. V. (2024) “Mathematical Model of Shifted Time of Combined Signal as Part of Fragments with Linear and Quadratic Frequency Modulation”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (97), pp. 5-11. doi: 10.20535/RADAP.2024.97.5-11.

Issue

Section

Telecommunication, navigation, radar systems, radiooptics and electroacoustics