卫星移动通信系统低信噪比抗干扰数字接收机设计
发布时间：2018-10-17 20:28
【摘要】：针对阵列天线卫星移动通信抗干扰能力差、传播损耗大等特性,设计了一种数字波束形成技术(DBF)和扩频技术相结合的数字接收机。其中,DBF算法采用基于递归最小均方算法(RLS)的解扩重扩盲自适应波束形成算法,使用VxWorks实现权值计算,FPGA实现波束形成;扩频方式采用直接序列扩频,在FPGA中实现。仿真分析与样机测试显示,通过两项技术联合使用,在信噪比低至-45 dB条件下仍可以实现可靠通信,同时有效加强了系统抗干扰能力。
[Abstract]:A digital receiver combining digital beamforming (DBF) and spread spectrum (SS) technology is designed to solve the problem of poor anti-jamming and high propagation loss of antenna array satellite mobile communication. Among them, the DBF algorithm adopts the blind adaptive beamforming algorithm of despreading and respreading based on the recursive least mean square algorithm (RLS), uses VxWorks to calculate the weights and FPGA to realize the beamforming, and the spread spectrum adopts direct sequence spread spectrum, which is implemented in FPGA. Simulation analysis and prototype test show that the system can communicate reliably under the condition of low SNR up to -45 dB, and the anti-jamming ability of the system can be effectively enhanced by using the two techniques together.
【作者单位】： 中国科学技术大学核探测与核电子学国家重点实验室;中国科学技术大学近代物理系物理电子学安徽省重点实验室;北京空间信息中继传输技术研究中心;
【分类号】：TN927.23
，
本文编号：2277867
[Abstract]:A digital receiver combining digital beamforming (DBF) and spread spectrum (SS) technology is designed to solve the problem of poor anti-jamming and high propagation loss of antenna array satellite mobile communication. Among them, the DBF algorithm adopts the blind adaptive beamforming algorithm of despreading and respreading based on the recursive least mean square algorithm (RLS), uses VxWorks to calculate the weights and FPGA to realize the beamforming, and the spread spectrum adopts direct sequence spread spectrum, which is implemented in FPGA. Simulation analysis and prototype test show that the system can communicate reliably under the condition of low SNR up to -45 dB, and the anti-jamming ability of the system can be effectively enhanced by using the two techniques together.
【作者单位】： 中国科学技术大学核探测与核电子学国家重点实验室;中国科学技术大学近代物理系物理电子学安徽省重点实验室;北京空间信息中继传输技术研究中心;
【分类号】：TN927.23
，
本文编号：2277867
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