TY - GEN
T1 - Optimal request algorithm for attitude determination
AU - Choukroun, D.
AU - Bar-Itzhack, I. Y.
AU - Oshman, Y.
PY - 2001/12/1
Y1 - 2001/12/1
N2 - REQUEST is a recursive QUEST algorithm for least-squares fitting of the attitude quaternion of a spacecraft to vector measurements. REQUEST relies on the ability to perfectly propagate the so called K-matrix and is therefore suboptimal when filtering propagation noises. The algorithm presented here provides an optimized REQUEST routine, which optimally filters measurement as well as propagation noises. The solution approach is based on state space modeling of the K-matrix system and uses Kalman filtering techniques in order to estimate the optimal K-matrix. Then, the attitude quaternion is extracted from the estimated K-matrix. A simulation study is used to demonstrate the performance of the algorithm.
AB - REQUEST is a recursive QUEST algorithm for least-squares fitting of the attitude quaternion of a spacecraft to vector measurements. REQUEST relies on the ability to perfectly propagate the so called K-matrix and is therefore suboptimal when filtering propagation noises. The algorithm presented here provides an optimized REQUEST routine, which optimally filters measurement as well as propagation noises. The solution approach is based on state space modeling of the K-matrix system and uses Kalman filtering techniques in order to estimate the optimal K-matrix. Then, the attitude quaternion is extracted from the estimated K-matrix. A simulation study is used to demonstrate the performance of the algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84894417734&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84894417734
SN - 9781563479786
T3 - AIAA Guidance, Navigation, and Control Conference and Exhibit
BT - AIAA Guidance, Navigation, and Control Conference and Exhibit
T2 - AIAA Guidance, Navigation, and Control Conference and Exhibit 2001
Y2 - 6 August 2001 through 9 August 2001
ER -