基于非理想信道状态信息的高通量卫星预编码算法

High-Throughput Satellite Precoding Algorithm Based on Non-Ideal Channel State Information

为了抑制频率复用造成的同频干扰,高通量卫星通信系统开始研究地面干扰抑制技术,包括应用于反向链路的多用户检测技术和应用于前向链路的预编码技术,建立考虑自由空间损耗、降雨衰减和波束增益等影响的前向链路模型。在非理想信道状态信息模型的基础上针对最小均方误差预编码算法进行改进,提出一种适用于非理想信道状态信息的改进最小均方误差预编码算法。考虑的卫星预编码算法采用更加精确的具有非理想信道信息的信道模型,将非理想信道状态信息纳入预编码算法并进行消除设计。仿真结果表明,基于高通量卫星预编码算法在非理想信道状态信息条件下能够显著提升系统的吞吐量,并且提高了系统的鲁棒性。

In order to suppress co-channel interference caused by frequency reuse,high-throughput satellite communication systems have begun to study ground interference suppression technologies,including multi-user detection technology applied in the reverse link and precoding technology applied in the forward link.A forward link model was established that took into account the eff ects of free space loss,rain attenuation,and beam gain.Based on the non-ideal channel state information model,the minimum mean square error precoding algorithm was improved,and an improved minimum mean square error precoding algorithm suitable for non-ideal channel state information was proposed.The satellite precoding algorithm considered adopted a more accurate channel model with irrational channel information,and incorporated the non-ideal channel state information into the precoding algorithm and eliminated it.The simulation results showed that the high-throughput satellite precoding algorithm could signifi cantly improved the throughput of the system under the condition of non-ideal channel state information,and also improved the robustness of the system.