The attitude estimation of three-axis stabilized satellites using hybrid particle swarm optimization combined with radar cross section precise prediction
Restricted accessResearch articleFirst published online March, 2016
The attitude estimation of three-axis stabilized satellites using hybrid particle swarm optimization combined with radar cross section precise prediction
An attitude estimation approach based on the hybrid particle swarm optimization (HPSO) and radar cross section (RCS) precise prediction for the three-axis stabilized satellites in space is presented in this paper. The modified strategies with quantum behavior operator and cloud mutation based on the multi-phase particle swarm optimization are used to increase the diversity of particles, reduce the objective function evaluation times and improve the global searching ability. The simulated RCS sequences of three-axis stabilized satellites at the specified epoch are determined by the method combined the precise orbit and the RCS of satellites calculated by fast multipole method. The mean square error between measured RCS sequences and simulated RCS sequences is considered as the objective function. The attitude estimation problem is transferred to an optimization problem by minimizing the objective function with attitude angles, which is solved by HPSO. The operation procedure is shown clearly, and the set of measurement is analyzed. The numerical results of optimizing the test functions showing better behavior of the proposed algorithm method than standard particle swarm optimization in terms of accuracy are provided. Representative examples validate the accuracy and the anti-noise jamming ability of the proposed algorithm for attitude estimation of three-axis stabilized satellites.
ChenJQueganSYinX. Calibration of spaceborne linearly polarized low frequency SAR using polarimetric selective radar calibrators. Prog Electromagn Res2011; 114: 89–111.
2.
ParkJ-IKimK-T. A comparative study on ISAR imaging algorithms for radar target identification. Prog Electromagn Res2010; 108: 155–175.
3.
ConceicaoRCO'HalloranMJonesE. Investigation of classifiers for early-stage breast cancer based on radar target signatures. Prog Electromagn Res2010; 105: 295–311.
4.
OraiziHAbdolaliAVaseghiN. Application of double zero metamaterials as radar absorbing materials for the reduction of radar cross section. Prog Electromagn Res2010; 101: 323–337.
5.
AlexopoulosA. Effect of atmospheric propagation in RCS predictions. Prog Electromagn Res2010; 101: 277–290.
6.
ZhouSHLiuHW. Signal fusion-based target detection algorithm for spatial diversity radar. IET Radar Sonar Navig2011; 5: 204–214.
7.
AkakayaMNehoraiA. MIMO radar detection and adaptive design under a phase synchronization mismatch. IEEE Trans Signal Process2010; 58: 4994–5005.
8.
GuanJChenX-LHuangY. Adaptive fractional Fourier transform-based detection algorithm for moving target in heavy sea clutter. IET Radar Sonar Navig2012; 6: 389–401.
DebesCZoubirAMAminMG. Enhanced detection using target polarization signatures in through-the-wall radar imaging. IEEE Trans Geosci Remote Sens2012; 50: 1968–1979.
11.
ZengGZhangKXiongJ. Attitude determination using tracking data for faulty satellites in self-spin condition. J Astrodyn. 3: 48–50.
12.
KirschAKressR. Uniqueness in inverse obstacle scattering. Inverse Probl1993; 9: 285–299.
13.
ColtonDKressR. Inverse acoustic and electromagnetic scattering theory, New York: Springer-Verlag, 1992.
14.
LeffertsEJMarkleyFLShusterMD. Kalman filtering for spacecraft attitude estimation. J Guid Control Dyn1982; 5: 417–429.
15.
SlotineJ-JEDi BenedettoMD. Hamiltonian adaptive control of spacecraft. IEEE Trans Autom Control1990; 35: 848–852.
16.
ShusterMD. A survey of attitude representations. J Astronaut Sci1993; 41: 439–517.
17.
MarandiSRModiVJ. A preferred coordinate system and associated orientation representation in attitude dynamics. Acta Astronaut1987; 15: 833–843.
18.
Schaub H, Junkins JL and Robinett RD. Adaptive external torque estimation by means of tracking a Lyapunov function. In: Proceedings of the AAS/AIAA space flight mechanics meeting, 1996, pp.96–172.
19.
Crassidis JL, Andrews SF, Markley FL, et al. Contingency designs for attitude determination of TRMM. In: Proceedings of the flight mechanics/estimation theory symposium, 1995, pp.419–433.
20.
HajduchGLe CaillecJMGarelloR. Airborne high-resolution ISAR imaging of ship targets at sea. IEEE Trans Aerosp Electron Syst2004; 40: 378–384.
21.
AiL-LFengYZhengLD. Measurement of spatial object’s exterior attitude based on linear CCD. Chin Optics Lett2008; 6: 505–509.
22.
RuckGTBarrickDEStuartWD. Radar cross section handbook1970; Vol. 1, New York: Plenum.
23.
WangW-BFengQLiuD. Application of chaotic particle swarm optimization algorithm to pattern synthesis of antenna arrays. Prog Electromagn Res2011; 115: 173–189.
24.
LinD-BWuF-NLiuW-S. Crosstalk and discontinuities reduction on multi-module memorybus by particle swarm optimization. Prog Electromagn Res2011; 121: 53–74.
25.
ZaharisZDYioultsisTV. A novel adaptive beamforming technique applied on linear antenna array using adaptive mutated Boolean PSO. Prog Electromagn Res2011; 117: 165–179.
26.
Perez LopezJRBasterrecheaJ. Hybrid particle swarm-based algorithms and their application to linear array synthesis. Prog Electromagn Res2009; 90: 63–74.
27.
LiW-THeiY-QShiX-W. Pattern synthesis of conformal arrays by a modified particle swarm optimization. Prog Electromagn Res2011; 117: 237–252.
28.
LiuDFengQWangW-B. Synthesis of unequally spaced antenna arrays by using inheritance learning particle swarm optimization. Prog Electromagn Res2011; 118: 205–221.
29.
Li X. Particle swarm optimization algorithm and quantum-behaved particle swarm optimization algorithm for power fault section estimation. Hunan University, 2010.
30.
Liu G-H, Song C-X and Liu H. Software implantation of cloud generators. Computer Application Study, 2007, pp.46–48.
31.
Buthainah AK and Chilukuri K-M. Multi-phase discrete particle swarm optimization. In: The fourth international workshop on frontiers in evolutionary algorithms, 2002.
32.
CuiZHanYLiCY. Efficient analysis of scattering from multiple 3-D cavities by means of a FE-BI-DDM method. Prog Electromagn Res2011; 116: 425–439.
33.
BudillonAEvangelistaASchirinziG. GLRT detection of moving targets via multibaseline along-track interferometric SAR systems. IEEE Geosci Remote Sens Lett2012; 9: 348–352.
34.
GurellAksunMI. Electromagnetic scattering solution of conducting strips in layered media using the fast multipole method. IEEE Microwave Guided Wave Lett1996; 6: 277–279.
35.
LuNLJinJM. Application of fast multipole method to finite element boundary-integral solution of scattering problems. IEEE Trans Antennas Propag1996; 44: 781–786.
36.
Lee SW, Balanf J, Ling H, et al. Twelve versions of physical optics: How do they compare? In: IEEE AP-S Symposium Digest, 1988, pp.408–411.
Robert AM, Jennifer LD and John LB. An information infrastructure for coordinate earth science observations. In: Proceedings of the 2nd IEEE international conference on space mission challenges for information technology, 2006, pp.397–404.
39.
HarrubggtonRF. Field computation by moment methods, New York: Macmillan, 1968.
