低轨卫星频谱感知的二维差值迭代分割  

A Two-Dimensional Difference Iterative Partition Algorithm for LEO Network's Spectrum Sensing

作　　者：马陆[1,2] 陈晓挺[1,2] 龚文斌[1,2] 梁旭文[1,2] 

机构地区：[1]上海微小卫星工程中心,上海200050 [2]中国科学院上海微系统与信息技术研究所,上海200050

出　　处：《宇航学报》2011年第4期851-856,共6页Journal of Astronautics

基　　金：上海市自然科学基金(09ZR1430400)

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。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 signal-noise ratio can be accurately positioned by using a energy detector.Consequently,it meets the LEO satellite communication system application.

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 

分 类 号：TN927.23[电子电信—通信与信息系统]