Ambiguity Multiple Target Detection with Frequency Modulated Continuous Wave Radar System
Abstract
In this study, FMCW radar system was used because it is Frequency Modulated and the signal emitted from the transmitting antenna uses a signal type called Linear Frequency Modulation (LFM) Chirp signal. Linear frequency modulation allows the frequency of the signal to increase or decrease linearly over time. Linear frequency modulation achieve to increase the range resolution, which is the radar's ability to distinguish between targets, and makes it more protected against electronic warfare techniques. Therefore, it is widely used in military applications. As in every radar system, range resolution is an important detail in FMCW radar systems. The modules used in the radar system have an effect on the range resolution separately, as well as the processing of the transmitted and received signals is of great importance. In a FMCW radar system designed within the scope of this study, an environment with more than one target was created to provide the best range resolution, and a modeling and simulation study was carried out to determine the distances, velocities and angular positions of ambiguity multiple targets by processing the transmitted and received signals with CFAR and MUSIC algorithms.
Keywords
References
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Abstract
References
- Ali, H., Erçelebi, E., (2017), "Design and implementation of FMCW radar using the raspberry Pi single board computer," 2017 10th International Conference on Electrical and Electronics Engineering (ELECO), PP: 1372-1374. https://ieeexplore.ieee.org/abstract/document/8266222
- Aulia, S., Suksmono, A. B., Munir, A., (2015), "Stationary and moving targets detection on FMCW radar using GNU radio-based software defined radio," 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Nusa Dua Bali, Indonesia, PP: 468-473. https://ieeexplore.ieee.org/document/7432817
- Ivanov, S. I., Kuptsov, V. D., Fedotov, A. A., (2019), "The signal processing algorithm of automotive FMCW radars with an extended range of speed estimation", Journal of Physics: Conference Series, PP: 1236 https://iopscience.iop.org/article/10.1088/1742-6596/1236/1/012081
- Mahafza, B. R., (2013), "Radar Systems, Analysis and Design using MATLAB®", Chapman & Hall/CRC. https://doi.org/10.1201/9781420057072
- Mumtaz, Z., Hanif, A., Hashmi, A., (2015), "Digital Signal Processing (DSP) Algorithms for CW/FMCW Portable Radar". https://www.researchgate.net/publication/348163927_Digital_Signal_Processing_DSP_Algorithms _for_CWFMCW_Portable_Radar
- Sangdong, K., Bong-seok, K., Daegun, O., Lee, J., (2015), "An Effective Pre-processing Technique for Robust ESPRIT-Based Single-Tone Frequency Estimation against an I/Q Mismatch". https://doi.org/10.5755/j01.eee.21.6.13757
- Şeflek, İ., Yaldız, E., (2020), "Frekans Modüleli Sürekli Dalga Radarıyla Simüle Edilen Hayati Sinyallerin Temassız Tespiti", Avrupa Bilim ve Teknoloji Dergisi ( Special Issue), PP: 72-77. https://doi.org/10.31590/ejosat.802905
- Parrish, K., (2010), "An Overview of FMCW Systems in MATLAB". https://www.researchgate.net/publication/260286270_An_Overview_of_FMCW_Systems_in_MAT LAB
Details
| Primary Language | English |
|---|---|
| Subjects | Industrial Engineering |
| Journal Section | Research Articles |
| Authors | |
| Early Pub Date | December 27, 2023 |
| Publication Date | December 27, 2023 |
| Published in Issue | Year 2023 Volume: 2 Issue: 2 |
