A new satellite to satellite tracking algorithm from Doppler-shifted frequency measurements

查看全文 作　　者：Li Qiang Guo Fucheng Zhou [1]Yiyu

机构地区：[1]School of Electronic Science & Engineering, National University of Defense Technology, Changsha 410073, China

出　　处：《Progress in Natural Science:Materials International》索引2007年第17卷第10期,共9页

基　　金：Supported by National Defense Foundation (Grant No 11301030101) 摘　　要：A new satellite to satellite tracking (SST) algorithm from Doppler-shifted frequency measurements is proposed. The estimation principle is demonstrated and the mathematic model of SST is established. The state estimation methods for a user (the cooperative case) and target satellites (the non-cooperative case) are presented based on particle swarm optimization (PSO). The Cramer-Rao lower bounds (CRLB) are deduced as well. Performance of the new algorithm is validated through computer simulations, which proved that the proposed method is effective in terms of the estimation quality compared with CRLB and superior in accuracy to the Bearings-Only (BO) method in almost all simulation cases except for the case that an enough long tracking arc-length is obtained for a user satellite. 关键词：卫星对卫星跟踪算法多普勒雷达频率测量地球轨道

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A new satellite to satellite tracking algorithm from Doppler-shifted frequency measurements

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