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低轨卫星频谱感知的二维差值迭代分割
引用本文:马陆,陈晓挺,龚文斌,梁旭文.低轨卫星频谱感知的二维差值迭代分割[J].宇航学报,2011,32(4).
作者姓名:马陆  陈晓挺  龚文斌  梁旭文
作者单位:上海微小卫星工程中心,上海,200050;中国科学院上海微系统与信息技术研究所,上海,200050
摘    要:在低轨卫星通信系统中应用频谱感知技术,必须解决波束覆盖范围过大造成感知结果空间分辨率过低的问题.提出了二维差值迭代分割算法,利用地球自转引起的轨道面旋转方向,以及卫星行进方向上的波束重叠,经迭代计算获得波束下各子区域的频谱环境数据.经仿真表明此算法可以有效分割波束,并在6dB以上的信噪比条件下结合能量检测器准确定位主用户信号,从而满足低轨卫星通信系统的应用需求.

关 键 词:低轨卫星通信  频谱感知  二维差值迭代分割  无源定位

A Two-Dimensional Difference Iterative Partition Algorithm for LEO Network' s Spectrum Sensing
MA Lu,CHEN Xiao-ting,GONG Wen-bin,LIANG Xu-wen.A Two-Dimensional Difference Iterative Partition Algorithm for LEO Network' s Spectrum Sensing[J].Journal of Astronautics,2011,32(4).
Authors:MA Lu  CHEN Xiao-ting  GONG Wen-bin  LIANG Xu-wen
Institution:MA Lu1,2,CHEN Xiao-ting1,GONG Wen-bin1,LIANG Xu-wen1,2(1.Shanghai Engineering Center for Micro-Satellites,Shanghai 200050,China,2.Shanghai Institute of Micro-System and Information Technology,CAS Shanghai 200050,China)
Abstract:For the application of spectrum sensing technique in the LEO satellite communication system,the problem of low space-resolution in sensing results caused by the excessive beam coverage needs to be addressed.A two-dimensional difference iterative partition algorithm is proposed.The algorithm is used to obtain the spectrum environmental data of sub-regions under the beam by iterative calculation.The simulation shows that this method can effectively split beam,and the primary user signal with more than 6dB sig...
Keywords:LEO satellite communication  Spectrum sensing  Two-dimensional difference iterative partition  Passive location  
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