天空地一体化导航增强动态自组网模型及应用模式

The Self-organized Navigation Augmentation Network (SONANet), by combining the navigation and communication capabilities, is one of the key infrastructures for critical national applications like ocean navigation and Search and Rescue (SAR). The Self-organized Navigation Augmentation Network is characterized as heterogeneity and heteroideous, with complex application environment and various user requirements. Development of the Self-organized Navigation Augmentation Network faces great challenges including multi-dimensional cooperation of heterogeneity and heteroideous network, adaptive control of high dynamic network under various user requirements, and accurate monitoring of spatial-temporal-various random error. This project focuses on development and application of space-air-ground integrated dynamic Self-organized Navigation Augmentation Network, conduct researches on fundamental theories and key methods related to architecture of space-air-ground integrated dynamic Self-organized Navigation Augmentation Network, dynamic node sensing and self-recover scheme of Self-organized Navigation Augmentation Network, and multi-source multi-layer navigation augmentation based-on integration of navigation and communication. The implementation of this project is of great value for enhancing node cooperation and network self-organization capability of navigation augmentation network, and achieving on demand global navigation augmentation under all-weather condition.

导航增强自组网实现了导航和通信功能的融合，对远洋航行、应急救援等国家重大应用具有重要支撑作用。导航增强自组网具有异质异构、复杂动态的特征，应用环境复杂，用户需求多样，面临异质异构网络多维度协同、多样用户需求下高动态网络自适应调控和时空间变化随机误差准确监测等技术挑战。本项目研究天空地一体化导航增强动态自组网模型及应用模式，开展天空地一体化导航增强动态自组网架构、导航增强自组网节点动态感知和自愈机制、基于导航通信融合的多源多层导航增强等关键理论和方法研究，为提升导航增强网节点协作和网络自组能力，实现全球、全天候条件下的按需增强导航提供重要支撑。

面向卫星导航受限场景下区域应急导航定位需求和挑战，提出了一种基于临近空间浮空器的动态导航网络构型方法，采用多参数自适应优化算法实现动态导航网络在数量、精度和稳定性方面的多重优化。针对临近空间平台在导航信号受限场景下的导航定位问题，提出了一种对等网络协同定位方法，采用网络节点间的双向测距信息补充和融合卫星导航信号，并对空中低动态浮空器受随机气流影响的动态行为进行建模，实现网络协同定位。针对导航增强动态自组网节点状态感知的非线性特征精度损失难题，提出了基于自适应的粒子滤波的协同编队飞行器的状态准确估计方法，可准确获得节点状态在不同观测精度、时间和空间上变化的最优估计。针对业务多样化、用户需求随时空动态调整以及资源受限条件下的快速自愈难题，提出了多目标连续优化调整的网络服务恢复方法，有效降低了服务中断概率、缩短服务恢复时间。.针对基于临近空间平台的导航增强自组网完好性监测，提出了一种基于保护级和故障检测完好性监测方法，采用贝叶斯网络分析了导航增强自组网的节点故障传播特征，采用基于粒子滤波似然比检验的故障检测方法，并采用仿真评估验证了方法的有效性。

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