Paper Title:
Attitude Stability Determination Based on RCS Series Information Extraction for Space Objects
  Abstract

Information extraction for space objects based on narrowband radars is still a hot spot in the field of automatic target recognition. The attitude stability of space objects can be determined by randomicity and periodicity detection for RCS series. In this paper, a nonparametric statistics theory called run test is adopted to perform randomicity detection. Autocorrelation function and cepstrum analysis are used to judge periodicity and estimate the rotate speed for rotary targets. What’s more, a novel method is proposed here for attitude stability determination according to the rule of posture angle altering. The experiments with real data indicate the effectiveness of the methods.

  Info
Periodical
Edited by
Qi Luo
Pages
936-941
DOI
10.4028/www.scientific.net/AMM.20-23.936
Citation
X. J. Fu, M. Wang, C. Wang, M. G. Gao, "Attitude Stability Determination Based on RCS Series Information Extraction for Space Objects", Applied Mechanics and Materials, Vols. 20-23, pp. 936-941, 2010
Online since
January 2010
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