i-manager Publications

Simulation and Analysis of Higher Frequency (F-Band) Automotive MIMO Radars with Military Applications

Amika Gautam*, Menghal P. M.**

*-** Department of Radar and Control System, Military College of Electronics and Mechanical Engineering, Secunderabad, Telangana, India.

Periodicity:April - June'2025
DOI : https://doi.org/10.26634/jele.15.3.21843

Abstract

The Automotive Multiple Input Multiple Output MIMO Radar technology employs multiple transmitting and receiving antennas to significantly enhance radar performance, offering superior resolution and precise target detection capabilities. The need for this study arises from the increasing demand for precise, reliable radar systems in complex and cluttered military environments. The study aims to improve resolution, enhance target discrimination, and optimize radar performance under adverse conditions. Models utilized in this study include MIMO techniques, rain rate models, fog visibility models, and both frequency band F-band and wave band W-band radars. The proposed methodology encompasses designing and simulating antenna arrays, developing suitable waveforms, implementing advanced signal processing algorithms, and comparing performance metrics of different radar systems. Key steps involve antenna array configuration, radiation pattern analysis, beamforming, and performance testing in simulated scenarios. Results indicate that higher frequency radars offer improved data capacity, better range resolution, and higher jamming resistance compared to lower frequency systems. However, these higher-frequency radars also experience greater attenuation due to environmental factors like rain and fog. The proposed model significantly contributes to the comparison and selection of MIMO Radar systems for military applications, ensuring enhanced situational awareness, target acquisition, and operational effectiveness in demanding environments.

Keywords

MIMO, Radar, Target Detection, Jamming, Range Resolution.

How to Cite this Article?

Gautam, A., and Menghal, P. M. (2025). Simulation and Analysis of Higher Frequency (F-Band) Automotive MIMO Radars with Military Applications. i-manager’s Journal on Electronics Engineering, 15(3), 1-11. https://doi.org/10.26634/jele.15.3.21843

References

[1]. Alland, S., Stark, W., Ali, M., & Hegde, M. (2019). Interference in automotiver adar systems : Characteristics, mitigation techniques, and current and future research. IEEE Signal Processing Magazine, 36(5), 45-59.

[2]. Anderson, J. A., Gately, M. T., Penz, P. A., & Collins, D. R. (1990). Radar signal categorization using a neural network. Proceedings of the IEEE, 78(10), 1646-1657.

[3]. Berglund, J., & Lesser, A. (2018). Radio Spectrum Coexistence between Military Radars and Radio Access Networks.

[4]. Bic, M., & Koivunen, V. (2018). Radar waveform optimization for target parameter estimation in cooperative radar-communications systems. IEEE Transactions on Aerospace and Electronic Systems, 55(5), 2314-2326.

[5]. Bica, M., Huang, K. W., Koivunen, V., & Mitra, U. (2016, March). Mutual information based radar waveform design for joint radar and cellular communication systems. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3671-3675). IEEE.

[6]. Chipengo, U., Sligar, A., & Carpenter, S. (2020). High fidelity physics simulation of 128 channel MIMO sensor for 77GHz automotive radar. IEEE Access, 8, 160643-160652.

[7]. Elbir, A. M., Mishra, K. V., & Chatzinotas, S. (2021). Terahertz-band joint ultra-massive MIMO radar- communications: Model-based and model-free hybrid beamforming. IEEE Journal of Selected Topics in Signal Processing, 15(6), 1468-1483.

[8]. Feng, R., Uysal, F., Aubry, P., & Yarovoy, A. (2018). MIMO–monopulse target localisation for automotive radar. IET Radar, Sonar & Navigation, 12(10), 1131-1136.

[9]. Gökdoğan, B. Y., Çoruk, R. B., Aydın, E., & Kara, A. (2024). 2D millimeter-wave SAR imaging with automotive radar. Journal of Science, Technology and Engineering Research, 5(1), 68-77.

[10]. Harzheim, T., Mühmel, M., & Heuermann, H. (2021). A SFCW harmonic radar system for maritime search and rescue using passive and active tags. International Journal of Microwave and Wireless Technologies, 13(7), 691-707.

[11]. Hassanien, A., Himed, B., & Rigling, B. D. (2017). A dual-function MIMO radar-communications system using frequency-hopping waveforms. In 2017 IEEE Radar Conference (RadarConf) (pp. 1721-1725). IEEE.

[12]. Jindal, S. K. (2016). MIMO systems for military communication/applications. International Journal of Engineering Research and Applications, 6 (3), 22-23.

[13]. Kirk, B. H., Narayanan, R. M., Gallagher, K. A., Martone, A. F., & Sherbondy, K. D. (2018). Avoidance of time-varying radio frequency interference with software- defined cognitive radar. IEEE Transactions on Aerospace and Electronic Systems, 55(3), 1090-1107.

[14]. Kueppers, S., Cetinkaya, H., Herschel, R., & Pohl, N. (2020). A compact 24 × 24 channel MIMO FMCW radar system using a substrate integrated waveguide-based reference distribution backplane. IEEE Transactions on Microwave Theory and Techniques, 68(6), 2124-2133.

[15]. Kumari, P., Myers, N. J., & Heath, R. W. (2021). Adaptive and fast combined waveform-beamforming design for mmWave automotive joint communication- radar. IEEE Journal of Selected Topics in Signal Processing, 15(4), 996-1012.

[16]. Nahar, S. (2018). Design And Implementation of a Stepped Frequency Continuous Wave Radar System for Biomedical Applications (Master's theses, University of Tennessee).

[17]. Pirkani, A. A. (2024). Characterisation and Mitigation of Radar Interference in Automotive Applications (Doctoral dissertation, University of Birmingham).

[18]. Sedighi, S., Shankar, B., Mishra, K. V., & Ottersten, B. (2019). Optimum design for sparse FDA-MIMO automotive radar. In 2019 53rd Asilomar Conference on Signals, Systems, and Computers (pp. 913-918). IEEE.

[19]. Shimoni, M., Haelterman, R., & Perneel, C. (2019). Hypersectral imaging for militar y and security applications: Combining myriad processing and sensing techniques. IEEE Geoscience and Remote Sensing Magazine, 7(2), 101-117.

[20]. Slavik, Z. (2019). Compressive Sensing and its Applications in Automotive Radar Systems (Doctoral dissertation, Universität Tübingen).

[21]. Syeda, R. Z. (2021). Millimeter-Wave MIMO Radars for Radio-Frequency Imaging Systems: A Sparse Array Topology Approach (Master's theses, Eindhoven University of Technology).

[22]. Vasanelli, C., Batra, R., & Waldschmidt, C. (2017, March). Optimization of a MIMO radar antenna system for automotive applications. In 2017 11th European Conference on Antennas and Propagation (EUCAP) (pp. 1113-1117). IEEE.

[23]. Waldschmidt, C., Hasch, J., & Menzel, W. (2021). Automotive radar— From first efforts to future systems. IEEE Journal of Microwaves, 1(1), 135-148.

[24]. Wang, X., Hassanien, A., & Amin, M. G. (2018). Sparse transmit array design for dual-function radar communications by antenna selection. Digital Signal Processing, 83, 223-234.

[25]. Yan, J., Liu, H., Pu, W., Zhou, S., Liu, Z., & Bao, Z. (2016). Joint beam selection and power allocation for multiple target tracking in netted colocated MIMO radar system. IEEE Transactions on Signal Processing, 64(24), 6417-6427.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	15	15	200	15
Pdf & Online	35	35	400	25

Simulation and Analysis of Higher Frequency (F-Band) Automotive MIMO Radars with Military Applications

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content: