The paper proposes a new method of precise initial orbit determination by m s sample data.

Initial orbit determination of the uncorrelated targets is important in the space surveillance mission.

Based on the analysis on the characteristic of the surveillance data of the space object by space-based optical sensor, the concept of the Admissible Region and the idea of the triangulation are introduced to solve the problem of the initial orbit determination with too short arcs.

A robust algorithm of the initial orbit determination based on angular observation including some outliers is presented in this paper.

In this paper, the problem of initial orbit determination is discussed with nonlinear programming method.

In this paper, the optimal accuracy and quasi--optimal algorithm of determining the initial orbit solely with the short-arc measuring angle is investigated on the basis of the theory of optimal statistics.

In this paper,initial orbit determination for satellites based on angle measurements is studied.

An optimal selection algorithm based on grey relational analysis is proposed to select the optimal group from multiple groups of satellite initial orbits,which are determined via various data sources by Space TT&C(Tracking,Telemetry and Command) Center.

Theoretical analysis was proposed in the optimal selection of spacecraft initial orbits during the orbit injection phase,and an algorithm based on grey relational analysis was proposed to select the optimal initial orbit.