The objective of this paper is to study the effectiveness of a star pattern recognition method using singular value decomposition of a measured unit column vector matrix in a measurement frame and the corresponding catalog vector matrix in a reference frame. The approach is to use sensitivity analysis to define an effectiveness measure for a pairing process for individual measured and cataloged stars. The sensitivity of singular values relative to separation angle of star vectors will be studied to establish their correlation. A new method is proposed to generate the mission catalog to improve the quality of pattern recognition in speed and accuracy.
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