| 利用GNSS干涉信号振荡幅度反演土壤湿度 |
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| 引用本文： | 汉牟田,张波,杨东凯,洪学宝,杨磊,宋曙辉.利用GNSS干涉信号振荡幅度反演土壤湿度[J].测绘学报,2016,45(11):1293-1300. |
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| 作者姓名： | 汉牟田 张波 杨东凯 洪学宝 杨磊 宋曙辉 |
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| 作者单位： | 1. 北京航空航天大学电子信息工程学院, 北京 100191;2. 山东农业大学信息科学与工程学院, 山东 泰安 271018;3. 北京市农林科学院蔬菜研究中心, 北京 100097 |
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| 基金项目： | 北京市科技新星计划交叉学科合作课题(xxjc201603)，山东农业大学智能化农业装备研发项目(2015-16)，山东农业大学盐碱地改良利用项目(2014-IV-4)Foundation support:Beijing Nova Programme Interdisciplinary Cooperation Project(xxjc201603)，Intelligent Agricultural Equipment Research and Development Project of Shandong Agricultural University(2015-16)，Saline Alkali Land Improvement and Utilization Project of Shandong Agricultural University(2014-IV-4) |
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| 摘 要： | 根据干涉效应和GNSS接收机信噪比估计方法,推导了利用GNSS干涉信号幅度进行土壤湿度反演的模型,建模过程考虑了天线增益、土壤介电常数和噪声的影响。提出了使用AMPD算法从含有噪声的归一化干涉功率曲线中提取干涉峰值与谷值,进而反演了土壤介电常数与土壤湿度的方法,并对其进行了仿真。结果表明,利用提取出来的干涉谷值进行反演性能比峰值好,相对稳定准确的卫星仰角范围为5°~25°,湿度大于0.06cm~3/cm~3时反演结果更为准确,标准差在0.01cm~3/cm~3左右波动。
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| 关 键 词： | 土壤湿度测量 干涉功率 峰值检测 信噪比 介电常数 |
| 收稿时间： | 2016-04-05 |
| 修稿时间： | 2016-09-06 |
Soil Moisture Retrieval Utilizing GNSS Interference Signal Amplitude |
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| HAN Mutian,ZHANG Bo,YANG Dongkai,HONG Xuebao,YANG Lei,SONG Shuhui.Soil Moisture Retrieval Utilizing GNSS Interference Signal Amplitude[J].Acta Geodaetica et Cartographica Sinica,2016,45(11):1293-1300. |
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| Authors: | HAN Mutian ZHANG Bo YANG Dongkai HONG Xuebao YANG Lei SONG Shuhui |
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| Institution: | 1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China;2. College of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China;3. Beijing Vegetable Research Center, Beijing 100097, China |
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| Abstract: | A soil moisture retrieval model was developed using GNSS interference signal amplitude, according to the interference phenomenon and GNSS receiver SNR estimation method.Antenna gain,soil permittivity and noise effect was considered in this model.The AMPD algorithm was used to extract the interference peaks and valleys from noisy normalized interference power which were then used to retrieve soil permittivity and moisture,and a simulation was performed to verify its feasibility.Results showed that the soil moisture retrieval performance using interference valleys was better compared to that using peaks, the relatively stable retrieval elevation angle range is 5°~25°,and the retrieved value was more accurate when moisture is larger than 0.06 cm3/cm3,with the standard deviation around 0.01 cm3/cm3. |
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| Keywords: | soil moisture measurement interference power peak detection SNR soil permittivity |
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