高低轨频率共存卫星通信系统鲁棒波束成形算法研究
Research on Robust Beamforming Algorithm in Dual Satellite Communication System
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摘要: 针对静止轨道(Geostationary Earth Orbit, GEO)卫星系统和低轨道(Low Earth Orbit, LEO)卫星系统频率共享时存在的干扰问题,本文基于低轨分布式卫星编队提出了一种鲁棒自适应波束成形算法,从空间域功率隔离角度解决了高低轨卫星通信系统上行链路共用频谱时GEO用户对于LEO卫星共线干扰问题。算法中综合考虑卫星通信系统长传播时延导致的阵列导向矢量存在一定误差,在基于线性约束最小方差(LCMV)准则的自适应波束成形器中设计了考虑系统最恶劣误差情况的鲁棒性约束,并采用泰勒级数逼近法求解波束成形器加权矢量。仿真结果表明本文的鲁棒波束成形算法在卫星通信环境下适应度较高,能够有效地缓解高低轨卫星通信系统频率共享带来的同频干扰问题。
Abstract: To solve the problem of interference existing in the frequency sharing between the Geostationary Earth Orbit (GEO) satellite system and the Low Earth Orbit (LEO) satellite system,this paper reconsidered the use strategy of spatial spectrum resources, proposed a robust adaptive beamforming algorithm based on low-orbit distributed satellite cluster from point view of power isolation in the spatial domian. The proposed beamforming algorithm comprehensively consider the robust constraint design for the certain error in the array steering vector caused by the long propagation delay of the satellite communication system based on linearly constrained minimum variance (LCMV) criterion. A nonconvex beamforming optimization problem was relaxed to a second-order cone constraints (SOCP) problem. Thus, the beamformer weight vector was obtained by the Taylor series approximation method. Simulation results show that the proposed robust beamforming algorithm is more adaptable in the satellite communication environment, and can effectively alleviate the problem of co-frequency interference caused by frequency sharing of dual-satellite communication systems.