Impact of Phase Noise on Range Estimation Accuracy in Harmonic FMCW Radar Systems

被引:0
|
作者
El-Awamry, Ahmed [1 ,2 ]
Zheng, Feng [1 ]
Kaiser, Thomas [1 ]
Khaliel, Maher [1 ,2 ]
机构
[1] Univ Duisburg Essen, Inst Digital Signal Proc, Fac Engn, D-47057 Duisburg, Germany
[2] Benha Univ, Benha Fac Engn, Banha 13511, Egypt
来源
IEEE ACCESS | 2025年 / 13卷
关键词
Phase noise; Radar; Harmonic analysis; Accuracy; Estimation; Frequency measurement; Power harmonic filters; Phase measurement; Noise measurement; Noise; Harmonic FMCW radar; passive harmonic transponder; range estimation; phase noise; simulation; measurement; PLL;
D O I
10.1109/ACCESS.2025.3548903
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the impact of phase noise on range estimation accuracy in harmonic Frequency-Modulated Continuous-Wave (FMCW) radar systems. Harmonic FMCW radars offer advantages in many applications due to their ability to suppress clutter. However, phase noise, particularly in harmonic systems, presents a significant challenge by degrading range accuracy and increasing frequency measurement errors. In this study, a comprehensive theoretical model is developed to quantify the effects of phase noise on range estimation errors, providing a foundation for understanding its implications on system performance. This model is rigorously validated through both extensive simulations and real-world measurements, offering a holistic assessment of phase noise behavior under practical operating conditions. The results demonstrate that phase noise severely impacts range estimation accuracy, with its effects becoming more pronounced at greater target distances. These findings are further substantiated by experimental evaluations using a practical harmonic radar system, where the system's range accuracy is analyzed under realistic conditions. This study provides valuable insights and design guidelines for mitigating its impact in harmonic FMCW radar architectures. The results highlight the necessity of advanced phase noise suppression techniques, including optimized hardware configurations and adaptive signal processing methods, to enhance performance in high-precision applications such as industrial positioning and biomedical sensing.
引用
收藏
页码:42669 / 42688
页数:20
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