Optimization and verification of single pilot operations model for commercial aircraft based on biclustering method

Commercial aircraft crews have experienced a trend from five-person crew to dual-pilot crew. Arised from both technological and market demands, Single Pilot Operations (SPO) is considered an important development direction in modern aviation technology. In this paper, starting from Dual-Pilot Operations (DPO), the piloting process, decision-making process and decision-making mode of DPO for commercial aircraft are studied to obtain the operational requirements of SPO. Then, based on above analysis, the operational mechanism of SPO is studied and the core technology of SPO mode is proposed. Next, a new closed frequent bicluster mining algorithm named FsCluster is proposed for the optimization of the SPO model, and the other efficient bicluster mining algorithm named TsCluster is proposed for the analysis and verification of the SPO model. Finally, a typical flight phase scenario is modelled by Magic System of System, and combined with the proposed algorithms for analysis and verification to determine whether the SPO mode can meet the DPO requirements.     

基于数字多波束星载多通道VDES设计

阐述了甚高频数据交换系统(VDES)系统产生背景,针对目前普遍存在的系统通信速率受限以及自动识别系统(AIS)时隙冲突问题,提出一种全双工射频通信频段设计方法和时隙冲突解决途径。通过采用多个射频通道以及多个波束合成,利用阵列天线和数字波束合成(DBF)技术,将卫星大覆盖范围划分为多个相互独立区域,缩小单个天线波束视场覆盖范围,减少单波束范围内船舶数量,能有效降低AIS信号时隙冲突。以600 km卫星轨道为例,介绍了8通道及8个波束DBF设计方法,对波束视场和天线增益等进行了仿真计算。结果表明:多波束可覆盖±42°视场角范围,单波束视场角最大为±14°。