A Waveform and Velocity Ambiguity Resolution Method for Corner Radar
Source abstract
Abstract
Millimeter-wave radar is experiencing an increasing demand for higher resolution and elevation measurement, necessitating its evolution from 3D millimeter-wave radar systems to 4D millimeter-wave radar. Unlike front automotive radar, corner radar is particularly interested in close-range targets. This article proposes a composite waveform tailored for automotive corner radar, employing different waveform schemes for various distances. This allows millimeter-wave angle radar to achieve superior range resolution and velocity resolution in the close and medium ranges. However, enhancing velocity resolution inevitably results in a reduction in the maximum unambiguous velocity. Consequently, a velocity ambiguity resolution method based on target parameter matching for front and rear frames is proposed to address this issue. The feasibility of the composite waveform and method are verified through simulation. Finally, a radar designed with the ALPS PRO chip is employed to test the designed waveform and velocity ambiguity resolution method, yielding results that are largely consistent with the simulation outcomes. The findings indicate a notable enhancement in resolution for medium distances ranging from 60 to 100 m when employing the proposed waveform. Moreover, the velocity ambiguity resolution method effectively resolves velocity ambiguity, leading to enhanced accuracy in velocity measurements. This suggests that the composite waveform and algorithm are well suited for current automotive angle radar applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced SAR Imaging Techniques · Microwave Imaging and Scattering Analysis · Radar Systems and Signal Processing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China
Funding
Fundamental Research Funds for the Central Universities · Jiangsu Agriculture Science and Technology Innovation Fund
References (18)
Show source-provided references
1. Millimeter Wave FMCW RADARs for Perception, Recognition and Localization in Automotive Applications: A Survey10.1109/TIV.2022.3167733 ↗
2. Pearce, A., Zhang, J.A., Xu, R., and Wu, K. (2023). Multi-Object Tracking with mmWave Radar: A Review. Electronics, 12.10.3390/electronics12020308 ↗
3. Rohling, H., and Ernst, L. (1995, January 8–11). 77 GHz radar sensor for car application. Proceedings of the Proceedings International Radar Conference, Alexandria, VA, USA.
4. Zhou, H., Cao, P., and Chen, S. (2016, January 2–6). A novel waveform design for multi-target detection in automotive FMCW radar. Proceedings of the 2016 IEEE Radar Conference (RadarConf), Philadelphia, PA, USA.10.1109/RADAR.2016.7485315 ↗
5. Robey, F.C., Coutts, S., Weikle, D., Mcharg, J.C., and Cuomo, K. (2004, January 7–10). MIMO radar theory and experimental results. Proceedings of the Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA.
6. MIMO radar waveform design in the presence of multiple targets and practical constraints10.1109/TSP.2020.2979602 ↗
7. MIMO radar waveform design: An overview
8. An engineering implementation method for speed disambiguation in automotive radar systems
9. Adam, Y. (2023, July 03). Research on Speed Expansion Algorithm Based on AWR1642 Automotive Radar. Available online: https://www.ti.com.cn/product/cn/AWR1642#tech-docs.
10. Rings, fields, the Chinese remainder theorem and an extension-Part I: Theory10.1109/82.329735 ↗
11. Wang, Y. (2013, January 14–16). Bandwidth synthesis for stepped chirp signal: A multichannel sampling prospective. Proceedings of the IET, Xi’an, China.
12. Zhai, W., and Zhang, Y. (2014, January 13–17). Motion parameters estimation of high-speed moving target for stepped frequency chirp signal. Proceedings of the 2014 International Radar Conference, Lille, France.
13. Liu, K., Liao, X., Wan, Q., Peng, H., and Mao, J. (2022, January 12–14). Investigation of Chirp Stepped Signal Performance for 60GHz Millimeter Wave Radar. Proceedings of the 2022 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), Urbana, IL, USA.10.1109/EDAPS56906.2022.9994927 ↗
14. Sun, H., Frederic, B., and Lesturgie, M. (2014, January 13–17). Analysis and Comparison of MIMO Radar Waveforms. Proceedings of the Radar Conference, Lille, France.10.1109/RADAR.2014.7060251 ↗
15. Yang, Y., and Blum, R.S. (2007, January 26–29). MIMO Radarwaveform Design. Proceedings of the IEEE/SP Workshop on Statistical Signal Processing, Madison, WI, USA.10.1109/SSP.2007.4301302 ↗
16. High-performance automotive radar: A review of signal processing algorithms and modulation schemes10.1109/MSP.2019.2911722 ↗
17. Zhou, P., Xu, Y., Wang, X., Xu, H., Shi, X., and Li, X. (2022, January 12–15). Design of Vital Signs Detection System Based on 77GHz FMCW Radar. Proceedings of the 2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT), Harbin, China.10.1109/ICMMT55580.2022.10023113 ↗
18. Optimization and implementation of siw slot array for both medium and long range 77ghz automotive radar application10.1109/TAP.2018.2823911 ↗