复杂环境下GNSS海洋反射信号模型与仿真

GNSS-R是一种新型的无源被动式探测技术。通过大量的理论研究和岸基、机载以及星载试验验证该技术可用于海面粗糙度、海面高度等物理参数的反演。模型仿真是研究该技术的低成本方法，但是需要高准确的模型支撑。目前主要存在两种类型的模型：1）针对GNSS反射信号某一信号特征（相关功率、极化等）进行建模；2）从信号层面对GNSS反射信号进行模拟。前者不具有研究GNSS反射信号的通用性，而后者计算复杂度大、耗时多，不利于仿真电大尺寸粗糙面散射，且仅考虑某个单因素影响模拟场景。针对已有模型存在的不足，本课题开展如下研究：1）建立复杂环境下高准确度的GNSS反射信号模型；2）建立用于研究星载GNSS-R应用的动态模型；3）提出散射单元/散射区尺寸自适应调整、动态选取算法；4）为了提高模型仿真的时间效率，提出GNSS反射信号模型的并行数值计算算法。

GNSS Reflectormetry (GNSS-R) is a new passive detection technology. It has been demonstrated to be used to retrieve physical parameters such as sea surface wind speed and height through a larger number of theorotical studies and ground-based, airborne or spaceborne experiments. Simulations are low-cost and effective way to do this kind of research，which needs high accuracy model. At present, there are two available ways as follows: 1) modeling sepecified feature of GNSS reflected signals, such as correlation power, and polarization et.al. 2) simulating GNSS reflected signals. The former one lacks generality to represent the reflections, however, the latter one is complicated and time-consuming. To overcome the shortcomings of the above methods, this project will explore the following points: 1) developing high accuracy GNSS reflected signals model for the complex enviroment. 2) developing dynamic model of GNSS reflected signals for studying the spaceborne GNSS-R applications. 3) presenting the self-adaptive and dynamic selection algorithm for the scattering region and unit size. 4) giving the parallel computation algorithm to improve the simulation efficiency of GNSS reflected signals.