商业微纳卫星电源故障保护及恢复设计

微纳卫星是目前极为热门的卫星应用发展方向.但大量低等级元器件提高了卫星单粒子闩锁的可能性,对微纳卫星电源管理提出了挑战.为提高微纳卫星电源管理及故障恢复能力,提出了一种低成本微纳卫星电源系统防护及自主恢复设计.该设计基于电流检测实现电源系统自动过流保护,同时,具备自主恢复供电能力,自主恢复时间可调.论文阐述了微纳卫星电源系统防护及自恢复原理,理论推导了设计参数选择依据,并利用实验实测验证了电源防护及自恢复设计的可行性.     

利用X射线脉冲星的星间差分联合定位方法简

Relative navigation traditionally using inter-satellite links demands higher inter-satellite time synchronization, and has no ability of absolute positioning and timing. In this paper, we propose a relative navigation model of X-ray pulsar-based co-localization. The main satellite receives the radiation pulse signal from X-ray pulsars, and sends the arrival time and individual pulse's feature to adjacent satellites through inter-satellite links. Then by detecting the inter-satellite time difference of X-ray pulsar signals we can establish the location equation to find the inter-satellite relative position. We deduce the error correction equation of the pulse TOA prediction model and analyze the identifiability of individual pulses of the pulsar. The method proposed in this paper is less influenced by the TOA prediction model, ephemeris error, etc. It is helpful for achieving on-line self-adaption correction of the TOA prediction model and combined orbit determination of satellite constellation.     

一种基于模糊理论的雷达与视频融合交通目标跟踪方法

为了解决单传感器在道路监测中存在的局限性以及交通环境多样化等问题,基于模糊集理论的一种目标决策标准对传统的数据融合算法进行改进。该方法利用决策层模糊集理论的多传感器融合算法对交通目标进行跟踪,采用Z型隶属函数用于决策分支的优化。与传统的算法相比,改进后的数据融合算法对雷达航迹冗余、视频干扰和目标分割等问题都有所改善,并且进一步提高了跟踪精度。收集了大量的实际交通数据来验证雷达和视频跟踪算法的有效性,实验结果表明多传感器融合算法优于单传感器的目标跟踪算法。