一种基于多维搜索的极化对消算法

A New Cross-polar Interference Canceller by a Multi-dimensional Search

针对卫星通信中恶劣信道条件下极化隔离度降低导致数据误码率恶化的问题,提出了一种在路径延迟、频差、幅度多个维度进行搜索的极化对消算法。通过对主通路信号和辅通路信号之间的路径延迟进行大尺度搜索显著提高了对两路信号传输链路长度不一致的适应能力;通过对主通路信号和辅通路信号之间的频差进行计算和补偿,解决了两路信号之间存在频差时传统算法对消效果恶化的问题。文中给出了多维搜索极化对消算法的具体实现框图,并对不同极化隔离度下的对消效果进行了仿真,仿真结果验证了算法的有效性。

In satellite communication,lower cross-polar isolation discrimination significantly causes degradation of receiving BER(Bit Error Rate).To mitigate this issue,a novel XPIC(cross-polar interference canceller)metliod based on a multi-dimensional search,including patli delay,frequency and amplitude,is presented in this paper.Search of patli delay in a large scale is to remove length difference between primary and side transmission links.Search of frequency compensates the frequency difference between primary andside signals.Theimplementation diagram of themethod is shown in thispaper.Simulationresults performed on diverse degrees of cross-polar isolation discrimination and demonstrated the validity of the method.