@article{
  author = {Jiannan Sun; Zhe Kang; Zhenwei Li; Cunbo Fan; },
  title = {Data matching and association based on the arc-segment difference method},
  keywords = {Optical  data  processing; Space  target  identification; Fuzzy  correlation; Arc-segment  difference  method; Orbit determination},
  abstract = {In &nbsp;response &nbsp;to &nbsp;the &nbsp;issue &nbsp;of &nbsp;fuzzy &nbsp;matching &nbsp;and &nbsp;association &nbsp;when &nbsp;optical &nbsp;observation &nbsp;data &nbsp;are &nbsp;matched &nbsp;with the &nbsp;orbital &nbsp;elements &nbsp;in &nbsp;a &nbsp;catalog &nbsp;database, &nbsp;this &nbsp;paper &nbsp;proposes &nbsp;a &nbsp;matching &nbsp;and &nbsp;association strategy &nbsp;based &nbsp;on &nbsp;the &nbsp;arcsegment &nbsp;difference &nbsp;method. &nbsp;First, &nbsp;a &nbsp;matching &nbsp;error &nbsp;threshold &nbsp;is &nbsp;set &nbsp;to &nbsp;match &nbsp;the &nbsp;observation &nbsp;data &nbsp;with &nbsp;the &nbsp;known catalog &nbsp;database. &nbsp;Second, &nbsp;the &nbsp;matching &nbsp;results &nbsp;for &nbsp;the &nbsp;same day &nbsp;are &nbsp;sorted &nbsp;on &nbsp;the &nbsp;basis &nbsp;of &nbsp;target &nbsp;identity &nbsp;and observation &nbsp;residuals. &nbsp;Different &nbsp;matching &nbsp;error &nbsp;thresholds &nbsp;and &nbsp;arc-segment &nbsp;dynamic &nbsp;association &nbsp;thresholds &nbsp;are &nbsp;then applied &nbsp;to &nbsp;categorize &nbsp;the &nbsp;observation residuals &nbsp;of &nbsp;the &nbsp;same &nbsp;target &nbsp;across &nbsp;different &nbsp;arc-segments, &nbsp;yielding &nbsp;matching results &nbsp;under &nbsp;various &nbsp;thresholds. &nbsp;Finally, &nbsp;the &nbsp;orbital &nbsp;residual &nbsp;is &nbsp;computed &nbsp;through &nbsp;orbit &nbsp;determination &nbsp;(OD), &nbsp;and &nbsp;the positional error &nbsp;is &nbsp;derived &nbsp;by &nbsp;comparing &nbsp;the &nbsp;OD &nbsp;results &nbsp;with &nbsp;the &nbsp;orbit &nbsp;track &nbsp;from &nbsp;the &nbsp;catalog &nbsp;database. &nbsp;The &nbsp;appropriate matching &nbsp;error &nbsp;threshold &nbsp;is &nbsp;then &nbsp;selected &nbsp;on &nbsp;the &nbsp;basis &nbsp;of &nbsp;these &nbsp;results, &nbsp;leading &nbsp;to &nbsp;the &nbsp;final matching &nbsp;and &nbsp;association &nbsp;of the &nbsp;fuzzy &nbsp;correlation &nbsp;data. &nbsp;Experimental &nbsp;results &nbsp;showed &nbsp;that &nbsp;the &nbsp;correct &nbsp;matching &nbsp;rate &nbsp;for &nbsp;data &nbsp;arc-segments &nbsp;is &nbsp;92.34% when &nbsp;the &nbsp;matching &nbsp;error &nbsp;threshold &nbsp;is &nbsp;set &nbsp;to &nbsp;720″, &nbsp;with the &nbsp;arc-segment &nbsp;difference &nbsp;method &nbsp;processing &nbsp;the &nbsp;results &nbsp;of &nbsp;an average &nbsp;matching &nbsp;rate &nbsp;of &nbsp;97.62% &nbsp;within &nbsp;8 &nbsp;days. &nbsp;The &nbsp;remaining &nbsp;5.28% &nbsp;of &nbsp;the &nbsp;fuzzy &nbsp;correlation &nbsp;data &nbsp;are &nbsp;correctly matched &nbsp;and &nbsp;associated, enabling &nbsp;identification &nbsp;of &nbsp;orbital &nbsp;maneuver &nbsp;targets &nbsp;through &nbsp;further &nbsp;processing &nbsp;and &nbsp;analysis. This &nbsp;method &nbsp;substantially &nbsp;enhances &nbsp;the &nbsp;efficiency &nbsp;and &nbsp;accuracy &nbsp;of &nbsp;space &nbsp;target &nbsp;cataloging, &nbsp;offering &nbsp;robust technical support&nbsp;for&nbsp;dynamic&nbsp;maintenance&nbsp;of&nbsp;the&nbsp;space&nbsp;target&nbsp;database.},
  doi = {https://doi.org/10.61977/ ati2025029},
  url = {https://chinaxiv.org/abs/202512.00039},
  timestamp = {2026-06-04},
}