目前，全球LEO星座卫星迎来了第二次重大发展机遇，但频率资源受限严重制约其发展。本课题针对我国现有部分Ka频段GEO频谱资源和LEO星座卫星资源申请困难的现状，立足LEO星座卫星通信系统的用频需求，对高低轨频谱共用场景中低轨星座系统动态资源智能调度问题进行研究，重点从干扰模型、频谱认知、资源调度三个方面展开。在建立考虑空间位置与天线指向影响的高低轨卫星立体网络动态干扰分析模型基础上，针对星地传播时延和异地频谱认知，研究多星协同的空间频谱预测技术，准确预测空时频功频谱空洞，指导LEO星座卫星共用频谱资源；进一步研究非均匀频谱空洞资源约束下的波束跳变控制和参数优化及基于用户行为预测的智能资源指配算法，进行星座卫星空时频功四维精准调度和资源预分配，实现频谱资源高效共享，体系化地解决了LEO星座卫星频谱智能共享问题，为我国天地一体化信息网络重大工程建设提供基础理论和技术支持。

Currently, LEO constellation satellite systems have received an important development opportunity again. However, the limited frequency resources severely restrict the development. In view of the fact that the Ka-band spectrum resources for GEO satellites are still available and applying for spectrum resources for LEO satellites is very difficult in China, we study the intelligent scheduling problem of dynamic resource for LEO constellation systems which share the spectrum resources with GEO systems based on the frequency requirement of LEO constellation satellite system. The research focuses on three aspects: interference model, spectrum awareness and resource scheduling. First, an interference analysis model is presented for the dynamic and complex GEO/LEO double layered satellite network based on spatial position and antenna pointing. Next, we investigate the spatial spectrum prediction technology with multi-satellite coordination to deal with the long propagation delay of satellite systems and the joint spectrum awareness and accurately predict the spectrum holes from the dimensions of space, time, frequency and power, which can promote the LEO constellation satellite to reuse the spectrum resources. Then, we study the beam-hopping control and the parameter optimization under the constraints of non-uniform spectral holes, the intelligent resource assignment algorithm based on user behavior predictions is proposed. Furthermore, we carry out the precise scheduling from four dimensions and the resource pre-allocation for the satellite to achieve efficient sharing of spectrum resources. Our project systematically promotes the intelligent spectrum-sharing of LEO constellation satellite and provides basic theory and technical support for the construction of Integrated Space-Terrestrial Information Network.