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摘要:
利用全球导航卫星系统反射信号测量技术(GNSS-R)进行土壤湿度反演过程中,实际接收天线方向性会造成GNSS直反信号相关功率测量偏差。针对地基观测场景下天线方向性造成的相关功率的类余弦振荡问题,提出了基于多项式拟合的信号相关功率修正方法。为了验证所提方法的有效性,开展了地基GNSS-R土壤湿度观测实验,结果表明:基于多项式拟合的相关功率修正可以消除信号相关功率的类余弦振荡,提升GNSS-R土壤湿度反演中的观测数据有效性和反演结果准确性。
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关键词:
- 全球导航卫星系统反射信号测量技术(GNSS-R) /
- 相关功率 /
- 振荡偏差 /
- 多项式拟合 /
- 土壤湿度
Abstract:In soil moisture observation using Global Navigation Satellite System Reflectometry (GNSS-R) technique, actual antennas' directionalities will bring about the biases in the correlation power measurements of the direct and reflected GNSS signals. For eliminating the cosine-like oscillatory bias of the correlation power caused by antenna directionality in ground-based scenario, this paper proposes a correlation power correction method based on the polynomial fitting. In order to verify the validity of this method, the ground-based GNSS-R soil moisture observation experiment is carried out. The experimental results show that the correlation power correction using polynomial fitting can remove the cosine-like oscillation of the correlation power waveform, and then improve the efficiency of measurement data and the accuracy of retrieval results.
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表 1 数据有效性统计结果
Table 1. Statistical results of data validity
卫星编号 数据总量/个 修正前有效数/个 修正后有效数/个 GPS PRN21 3 572 2 706 3 572 BDS PRN7 3 573 2 120 3 573 BDS PRN32 2 937 2 027 2 937 总计 10 082 6 853 10 082 表 2 反演结果均方根误差
Table 2. RMSE of retrieval results
卫星编号 未修正结果RMSE/% 修正后结果RMSE/% GPS PRN21 13.3 11.1 BDS PRN7 3.9 3.5 BDS PRN32 11.0 4.5 总体 10.5 7.3 -
[1] 王守荣. 全球水循环与水资源[M]. 北京: 气象出版社, 2003.WANG S R. Global water cycle and water resources[M]. Beijing: China Meteorological Press, 2003(in Chinese). [2] 杨东凯, 张其善. GNSS反射信号处理基础与实践[M]. 北京: 电子工业出版社, 2012.YANG D K, ZHANG Q S. GNSS reflected signal processing: Fundamentals and applications[M]. Beijing: Publishing House of Electronics Industry, 2012(in Chinese). [3] 金双根, 张勤耘, 钱晓东. 全球导航卫星系统反射测量(GNSS+R)最新进展与应用前景[J]. 测绘学报, 2017, 46(10): 1389-1398. doi: 10.11947/j.AGCS.2017.20170282JIN S G, ZHANG Q Y, QIAN X D. New progress and application prospects of global navigation satellite system reflectometry (GNSS+R)[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1389-1398(in Chinese). doi: 10.11947/j.AGCS.2017.20170282 [4] 吴学睿, 金双根, 宋叶志, 等. GNSS-R/IR土壤水分遥感研究现状[J]. 大地测量与地球动力学, 2019, 39(12): 1277-1282. https://www.cnki.com.cn/Article/CJFDTOTAL-DKXB201912012.htmWU X R, JIN S G, SONG Y Z, et al. Progress on soil moisture monitoring with GNSS-R/IR technique[J]. Journal of Geodesy and Geodynamics, 2019, 39(12): 1277-1282(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DKXB201912012.htm [5] 张楠, 严颂华, 王文伟. 北斗GEO卫星微动条件下的GNSS-R土壤湿度反演[J]. 科学技术与工程, 2019, 19(9): 154-161. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS201909025.htmZHANG N, YAN S H, WANG W W. Soil moisture inversion based on GNSS-R under the micro-motion condition of Beidou GEO satellites[J]. Science Technology and Engineering, 2019, 19(9): 154-161(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS201909025.htm [6] 张强, 李莲芳, 杨世琦, 等. GNSS-R陆面遥感为重要补充的土壤水分监测体系设计[J]. 西南大学学报(自然科学版), 2019, 41(3): 114-119. https://www.cnki.com.cn/Article/CJFDTOTAL-XNND201903017.htmZHANG Q, LI L F, YANG S Q, et al. The design of a soil moisture observation system with GNSS-R land remote sensing as a major supplement[J]. Journal of Southwest University (Natural Science Edition), 2019, 41(3): 114-119(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XNND201903017.htm [7] LARSON K M, SMALL E E, GUTMANN E, et al. Using GPS multipath to measure soil moisture fluctuations: Initial results[J]. GPS Solutions, 2008, 12(3): 173-177. doi: 10.1007/s10291-007-0076-6 [8] ROUSSEL N, FRAPPART F, RAMILLIEN G, et al. Detection of soil moisture variations using GPS and GLONASS SNR data for elevation angles ranging from 2° to 70°[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(10): 4781-4794. doi: 10.1109/JSTARS.2016.2537847 [9] 张训械, 严颂华. 利用GNSS-R反射信号估计土壤湿度[J]. 全球定位系统, 2009, 34(3): 1-6. https://www.cnki.com.cn/Article/CJFDTOTAL-QUDW200903000.htmZHANG X X, YAN S H. Soil moisture estimation using GPS reflected signals[J]. GNSS World of China, 2009, 34(3): 1-6(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-QUDW200903000.htm [10] 严颂华, 龚健雅, 张训械, 等. GNSS-R测量地表土壤湿度的地基实验[J]. 地球物理学报, 2011, 54(11): 2735-2744. doi: 10.3969/j.issn.0001-5733.2011.11.003YAN S H, GONG J Y, ZHANG X X, et al. Ground based GNSS-R observations for soil moisture[J]. Chinese Journal of Geophysics, 2011, 54(11): 2735-2744(in Chinese). doi: 10.3969/j.issn.0001-5733.2011.11.003 [11] WAN W, CHEN X W, ZHAO L M, et al. Near-surface soil moisture content measurement by GNSS reflectometry: An estimation model using calibrated GNSS signals[C]//2012 IEEE International Geoscience and Remote Sensing Symposium. Piscataway: IEEE Press, 2012: 7523-7526. [12] ZRIBI M, FANISE P. GNSS reflectometry for land surfa CES applications[C]//2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). Piscataway: IEEE Press, 2018: 1-5. [13] 万玮, 李黄, 洪阳. 作为外辐射源雷达的GNSS-R遥感多极化问题[J]. 雷达学报, 2014, 3(6): 641-651. https://www.cnki.com.cn/Article/CJFDTOTAL-LDAX201406004.htmWAN W, LI H, HONG Y. Issues on multi-polarization of GNSS-R for passive radar detection[J]. Journal of Radars, 2014, 3(6): 641-651(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-LDAX201406004.htm [14] 龙源, 谢全民, 钟明寿, 等. 爆破震动测试信号预处理分析中趋势项去除方法研究[J]. 工程力学, 2012, 29(10): 63-68. https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201210012.htmLONG Y, XIE Q M, ZHONG M S, et al. Research on trend removing methods in preprocessing analysis of blasting vibration monitoring signals[J]. Engineering Mechanics, 2012, 29(10): 63-68(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GCLX201210012.htm [15] 邹文博, 张波, 洪学宝, 等. 利用北斗GEO卫星反射信号反演土壤湿度[J]. 测绘学报, 2016, 45(2): 199-204. https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201602013.htmZOU W B, ZHANG B, HONG X B, et al. Soil moisture retrieval using reflected signals of BeiDou GEO satellites[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(2): 199-204(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201602013.htm