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Precise Orbit Determination Using Satellite Radar Ranging

Authors: Michael E. Hough;

Precise Orbit Determination Using Satellite Radar Ranging

Abstract

Precise orbit determination can be achieved using only range measurements (no angle measurements) collected from several radars in a regional network. As uncompensated range biases are comparable to Global Positioning System pseudorange errors, 1 position and velocity errors smaller than 10 m and 1 cm=s are possible. Global Positioning System-level accuracies can be achieved rapidly during initial trilateration and maintained for the duration of the satellite pass (e.g., 1000 s) because initial velocity errors are small. Missile defense radars can benefit from trilateration because accurate orbit determination and excellent covariance fidelity can be achieved on a very short timeline. Covariance fidelity is improved with a recursive trilateration filter that characterizes the effects of range measurement biases on the estimation process. An important finding is that, for a multiple radar network, trilateration is more accurate than fused triangulation with uncalibrated angle biases.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Average
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