多波束卫星通信中基于压缩感知的预编码设计与干扰消除技术

项目名称： 多波束卫星通信中基于压缩感知的预编码设计与干扰消除技术

项目编号： No.61771048

项目类型： 面上项目

立项/批准年度： 2018

项目学科： 无线电电子学、电信技术

项目作者： 杨德伟

作者单位： 北京理工大学

项目金额： 16万元

中文摘要： 宽带卫星通信业务的迅速发展使得频谱成为宝贵的资源，频率复用和频谱叠加可以实现频谱的高效利用，但是增加了系统的共信道和邻信道干扰，导致通信系统性能下降。本课题研究多波束卫星通信中基于压缩感知的预编码技术与干扰消除技术。首先，研究信号同步/异步到达时的MMSE信道估计技术，针对稀疏卫星信道研究同时正交匹配追踪（SOMP）和自适应步进稀疏自适应匹配追踪（AS-SAMP）信道估计方法。其次，研究功率受限的预编码技术和采用OMP的信道估计方法的基带/射频混合预编码技术。然后，研究基于因子图的干扰消除技术，将最小均方误差准则和单用户匹配滤波干扰消除算法用因子图表示。最后，研究基于期望最大化的联合干扰消除和同步技术、基于Gauss-Newton迭代的最大似然多参数估计技术及基于联合空域调制和结构化压缩感知的多用户检测技术。本课题的研究对于宽带卫星信道的频谱高效传输具有重要的理论意义和实际应用价值。

中文关键词： 宽带卫星通信；压缩感知；干扰消除；预编码；因子图

英文摘要： Given the quick development of broadband satellite communication services, the frequency spectrum turns into a valuable resource now and in the future. Frequency reuse and frequency overlap can be helpful to the highly efficient usage of frequency resources. However, as a result Common Channel Interference (CCI) and Adjacent Channel Interference (ACI) become serious in satellite communication system, which causes the performance deterioration of satellite communication link. In this proposal, we will study the precoding techniques and iterative interference cancellation techniques based on compressive sensing (CS) theory in multibeam satellite communications. First, the channel estimation techniques based on the MMSE criterion will be researched when multiple signals arrive at the receiver synchronously or asynchronously. Due to the sparsity of satellite channel, simultaneous orthogonal matching pursuit (SOMP) and adaptive step size-sparsity adaptive matching pursuit (AS-SAMP) channel estimation methods are to be studied. Second, we will design the precoders under the power constraint condition and the hybrid baseband and RF precoding technique will be researched on account of the OMP channel estimation. Then, the interference cancellation technique is going to be researched based on the factor graph and the algorithms of interference cancellation using the MMSE criterion and the single-user matched filter are represented by adopting the factor graph. Finally, joint interference cancellation and synchronization method based on expectation maximization (EM) will be analyzed and designed. The multiple parameters estimation technique is going to be studied based upon the Maximum Likelihood criterion through Gauss-Newton iteration. Because of the sparse satellite channel, the multiuser detector will be studied based on joint spatial modulation and structured CS. The study of this proposal will contribute both the theoretic analysis and practical implementation of the efficient transmission in broadband satellite channels.

英文关键词： broadband satellite communications;compressive sensing;interference cancellation;precode;factor graph