利用GPS-IR估算雪深的反演模型研究Research on estimation of snow depth inversion model using GPS-IR
张志刚,梁月吉,任超,黄仪邦,潘亚龙,周吕,施显健
摘要(Abstract):
利用全球定位系统反射信号干涉测量(GPS-IR)反演雪深成为近年来研究的热点领域。在此基础上,针对卫星反射信号分离这一问题,该文提出一种基于小波分解重构的卫星反射信号提取模型。利用coif5小波变换分解6层信噪比数据重构低频分量获取卫星反射信号,并对其反演精度和稳定性进行判别分析。结果表明:该方法克服了低阶多项式拟合分离卫星反射信号存在的局限性;算法简单实用,具有较强的抗干扰能力,分解得到的卫星反射信号较好;均方根误差和平均绝对误差分别降低了34%和27%;单颗卫星线性回归模型平均相关系数达到0.737,相比传统方法提高40%。
关键词(KeyWords): GPS-IR;雪深;信噪比;低频分量;卫星反射信号
基金项目(Foundation): 国家自然科学基金项目(41901409,41461089);; 广西高校中青年教师基础能力提升项目(2018KY0247);; 广西自然科学基金项目(2015GXNSFAA139230)
作者(Author): 张志刚,梁月吉,任超,黄仪邦,潘亚龙,周吕,施显健
DOI: 10.16251/j.cnki.1009-2307.2020.08.013
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