YANG Yi-wen,YAO Zhen-dong,SHE Yong,et al.A Method of Radar Snow Depth Detection based onFrequency and Phase Algorithm[J].Journal of Chengdu University of Information Technology,2018,(03):227-231.[doi:10.16836/j.cnki.jcuit.2018.03.001]
一种基于频率与相位算法的雷达雪深探测方法
- Title:
- A Method of Radar Snow Depth Detection based onFrequency and Phase Algorithm
- 文章编号:
- 2096-1618(2018)03-0227-05
- Keywords:
- FMCW radar; snow depth detection; ranging algorithm; precision; range ambiguity
- 分类号:
- TN95
- 文献标志码:
- A
- 摘要:
- 积雪深度的探测不仅能够提供气象上的数据资料,更与人们的日常生活息息相关,由此提出一种基于FMCW雷达的无线、非接触式、自动化积雪深度探测方法,并提出了利用频率结合相位的测量算法来降低雪深探测误差,以频率测距得到粗略距离,再利用相位测距在频率测距的基础上得到更精准的距离数据,算法能够消除相位整周模糊并进一步提高雷达的探测精度。实验仿真结果表明算法能够将雷达的测距精度优化到毫米级别,并在雷达雪深探测中使测量精度保持在1 cm以内。
- Abstract:
- The detection of snow depth not only provides meteorological data but also is closely related to people’s daily life. Therefore, a wireless, non-contact and automatic snow depth detection method based on FMCW radar is proposed.And ameasurementalgorithmto reduce the snow depth detection errorcombiningthe use of frequencywith phase is proposed.Firstly, the coarse distance is obtained by frequency distance measurement, then the phase distance measurement is used to obtain more accurate distance data based on frequency distance measurement.The combined algorithm can eliminate the phase ambiguity and further improve the radar detection accuracy.The simulation results show that the proposedalgorithm can optimize the ranging accuracy of radar to millimeter level and keep the measurement accuracy within 1cm in the radar snow depth detection.
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备注/Memo
收稿日期:2017-11-24基金项目:国家自然科学基金资助项目(41475143); 四川省教育厅创新团队资助项目(14TD0019); 中国气象局大气探测重点开放实验室资助项目(KLAS201104)