Region-confined restoration method for motion-blurred star image of the star sensor under dynamic conditions.

Under dynamic conditions, the centroiding accuracy of the motion-blurred star image decreases and the number of identified stars reduces, which leads to the degradation of the attitude accuracy of the star sensor. To improve the attitude accuracy, a region-confined restoration method, which concentrates on the noise removal and signal to noise ratio (SNR) improvement of the motion-blurred star images, is proposed for the star sensor under dynamic conditions. A multi-seed-region growing technique with the kinematic recursive model for star image motion is given to find the star image regions and to remove the noise. Subsequently, a restoration strategy is employed in the extracted regions, taking the time consumption and SNR improvement into consideration simultaneously. Simulation results indicate that the region-confined restoration method is effective in removing noise and improving the centroiding accuracy. The identification rate and the average number of identified stars in the experiments verify the advantages of the region-confined restoration method.

[1]  Fei Xing,et al.  Motion-blurred star acquisition method of the star tracker under high dynamic conditions. , 2013, Optics express.

[2]  Rob Roy,et al.  Chirp Waveform Generation Using Digital Samples , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Lei Guo,et al.  Blurred Star Image Processing for Star Sensors under Dynamic Conditions , 2012, Sensors.

[4]  杨波,et al.  Kinematic model for the space-variant image motion of star sensors under dynamical conditions , 2015 .

[5]  Roelof W. H. van Bezooijen.  SIRTF autonomous star tracker , 2003 .

[6]  K. Kreutz-Delgado,et al.  A grid algorithm for autonomous star identification , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Jian Li,et al.  Exposure Time Optimization for Highly Dynamic Star Trackers , 2014, Sensors.

[8]  Sun Ting,et al.  A Novel Approach Based on MEMS-Gyro's Data Deep Coupling for Determining the Centroid of Star Spot , 2012 .

[9]  Xin Guo,et al.  Combustion efficiency and pyrochemical properties of micron-sized metal particles as the components of modified double-base propellant , 2011 .

[10]  C. Liebe.  Star trackers for attitude determination , 1995 .

[11]  K. Gromov,et al.  Toward a stellar gyroscope for spacecraft attitude determination , 2004 .

[12]  Xiaohua Ding,et al.  Stability and Stabilization of Impulsive Stochastic Delay Differential Equations , 2012 .

[13]  Wei Wu,et al.  Attitude-correlated frames approach for a star sensor to improve attitude accuracy under highly dynamic conditions. , 2015, Applied optics.

[14]  Wang Xin-long,et al.  Multiple blur of star image and the restoration under dynamic conditions , 2011 .

[15]  L. Lucy.  An iterative technique for the rectification of observed distributions , 1974 .

[16]  William H. Richardson,et al.  Bayesian-Based Iterative Method of Image Restoration , 1972 .

[17]  Guangjun Zhang,et al.  Simulation analysis of dynamic working performance for star trackers. , 2010, Journal of the Optical Society of America. A, Optics, image science, and vision.

[18]  Carl Christian Liebe,et al.  Accuracy performance of star trackers - a tutorial , 2002 .

[19]  Jinsheng Xing,et al.  Adaptive Hybrid Function Projective Synchronization of Chaotic Systems with Time-Varying Parameters , 2012 .

[20]  Xingshu Wang,et al.  Extraction methed of the motion blurred star image for the star sensor under high dynamic conditions , 2014, 2014 12th International Conference on Signal Processing (ICSP).

[21]  Bin Li,et al.  Smearing model and restoration of star image under conditions of variable angular velocity and long exposure time. , 2014, Optics express.