In this study, a star identification algorithm which utilizes pivot patterns instead of apparent magnitude information was developed. The new star identification algorithm consists of two steps of recognition process. In the first step, the brightest star in a sensor image is identified using the orientation of brightness between two stars as recognition information. In the second step, cell indexes are used as new recognition information to identify dimmer stars, which are derived from the brightest star already identified. If we use the cell index information, we can search over limited portion of the star catalogue database, which enables the faster identification of dimmer stars. The new pivot algorithm does not require calibrations on the apparent magnitude of a star but it shows robust characteristics on the errors of apparent magnitude compared to conventional pivot algorithms which require the apparent magnitude information.

1. INTRODUCTION
 2. PRINCIPLE OF A NEW PIVOT ALOGORITM
 3. CONSTRUCTION OF THE STAR CATALOG
  3.1 Generation of the angular distance database
  3.2 Sectioning of star catalog: numbering of the cells
 4. IMEPLEMENTATION OF THE ALGORITHM
  4.1 Validation
  4.2 Result
 5. CONCLUSIONS
 ACKNOWLEDGEMENTS
 REFERENCES

• Jakyoung Nah(Korea Astronomy and Space Science Institute)
• Yu Yi(Department of Astronomy and Space Science, Chungnam National University) Corresponding Author
• Yong Ha Kim(Department of Astronomy and Space Science, Chungnam National University)