Optimal design and simulation analysis of millimeter wave MIMO radar
In the automation industry, radar has evolved into the midstream front pillar of Advanced Driver Assistance Systems (ADAS), with standalone radar being utilized for advanced cruise control gain or additional radar system gain. FMCW radar, unlike conventional CW radar, estimates the distance to a tar...
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sg-ntu-dr.10356-1582512023-07-07T18:58:13Z Optimal design and simulation analysis of millimeter wave MIMO radar He, Xiaoyu Lu Yilong School of Electrical and Electronic Engineering EYLU@ntu.edu.sg Engineering::Electrical and electronic engineering In the automation industry, radar has evolved into the midstream front pillar of Advanced Driver Assistance Systems (ADAS), with standalone radar being utilized for advanced cruise control gain or additional radar system gain. FMCW radar, unlike conventional CW radar, estimates the distance to a target by emitting waveforms of varying frequencies periodically. Nevertheless, the multiple-input multiple-output (MIMO) technology can enhance angular resolution while reducing the number of antenna elements used. Therefore, the optimal design of mmWave radar with the advanced MIMO (multiple-input multiple-output) technology is a practical topic worth discussing. In this project, we used MATLAB to conduct detailed simulations of a realistic FMCW radar, including the modulation of FMCW waveform, radar system setup, and signal processing including beamforming. Moreover, we compared the performance of different SIMO and MIMO radar configurations for target detection, where the advantage of MIMO radar has been demonstrated, notably that it can enhance angular resolution with fewer antenna elements. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-02T02:08:05Z 2022-06-02T02:08:05Z 2022 Final Year Project (FYP) He, X. (2022). Optimal design and simulation analysis of millimeter wave MIMO radar. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158251 https://hdl.handle.net/10356/158251 en A3136-211 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering He, Xiaoyu Optimal design and simulation analysis of millimeter wave MIMO radar |
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In the automation industry, radar has evolved into the midstream front pillar of Advanced Driver Assistance Systems (ADAS), with standalone radar being utilized for advanced cruise control gain or additional radar system gain. FMCW radar, unlike conventional CW radar, estimates the distance to a target by emitting waveforms of varying frequencies periodically. Nevertheless, the multiple-input multiple-output (MIMO) technology can enhance angular resolution while reducing the number of antenna elements used. Therefore, the optimal design of mmWave radar with the advanced MIMO (multiple-input multiple-output) technology is a practical topic worth discussing.
In this project, we used MATLAB to conduct detailed simulations of a realistic FMCW radar, including the modulation of FMCW waveform, radar system setup, and signal processing including beamforming. Moreover, we compared the performance of different SIMO and MIMO radar configurations for target detection, where the advantage of MIMO radar has been demonstrated, notably that it can enhance angular resolution with fewer antenna elements. |
author2 |
Lu Yilong |
author_facet |
Lu Yilong He, Xiaoyu |
format |
Final Year Project |
author |
He, Xiaoyu |
author_sort |
He, Xiaoyu |
title |
Optimal design and simulation analysis of millimeter wave MIMO radar |
title_short |
Optimal design and simulation analysis of millimeter wave MIMO radar |
title_full |
Optimal design and simulation analysis of millimeter wave MIMO radar |
title_fullStr |
Optimal design and simulation analysis of millimeter wave MIMO radar |
title_full_unstemmed |
Optimal design and simulation analysis of millimeter wave MIMO radar |
title_sort |
optimal design and simulation analysis of millimeter wave mimo radar |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/158251 |
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1772825991885881344 |