Advances in Estimation, Navigation, and Spacecraft Control: by Daniel Choukroun, Yaakov Oshman, Julie Thienel, Moshe Idan

By Daniel Choukroun, Yaakov Oshman, Julie Thienel, Moshe Idan

This publication offers chosen papers of the Itzhack Y. Bar-Itzhack Memorial Sympo-
sium on Estimation, Navigation, and Spacecraft keep watch over. Itzhack Y. Bar-Itzhack,
professor Emeritus of Aerospace Engineering on the Technion – Israel Institute of
Technology, was once a favourite and world-renowned member of the utilized estimation,
navigation, and spacecraft perspective selection groups. He touched the lives
of many. He had a love for all times, an important humorousness, and knowledge that he shared
freely with all people he met. To honor Professor Bar-Itzhack's reminiscence, in addition to his
numerous seminal expert achievements, a world symposium used to be held
in Haifa, Israel, on October 14–17, 2012, less than the auspices of the school of Aerospace
Engineering on the Technion and the Israeli organization for computerized Control.
The e-book comprises 27 chosen, revised, and edited contributed chapters written by
eminent overseas specialists. The booklet is geared up in 3 elements: (1) Estimation,
(2) Navigation and (3) Spacecraft assistance, Navigation and keep an eye on. the amount was
prepared as a reference for study scientists and working towards engineers from academy
and within the fields of estimation, navigation, and spacecraft GN&C.

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Additional info for Advances in Estimation, Navigation, and Spacecraft Control: Selected Papers of the Itzhack Y. Bar-Itzhack Memorial Symposium on Estimation, Navigation, and Spacecraft Control

Example text

In addition local tracks arrive at the FC with transmission delays, which further complicates the fusion problem and the implementation of information feedback. To address this problem, a generalized IMF (GIMF) for AT2TF was presented in [18], and is reviewed next. Without loss of generality consider the fusion of tracks from two asynchronous local trackers 1 and 2. Tracker 1 is collocated with the FC (no communication delay and information feedback to tracker 1). Tracker 2 is a remote tracker (with communication delay; no feedback to it).

Active vs. passive sensors). A concrete example of such a situation is when (i) tracker 1 uses an active sensor which is able to obtain range and azimuth measurements (full 2D or 3D position, the latter requires elevation measurements as well) and its target state vector comprises Cartesian position, velocity, etc. (ii) tracker 2 uses a passive sensor with angle only measurements and its target state vector comprises angular position, velocity and possibly acceleration. 1 The Heterogenous Track-to-Track Fusion Problem Without loss of generality, consider the following state-space models xi (k + 1) = f i [xi (k)] + vi (k) zi (k) = hi [xi (k)] + wi (k) (14) (15) xj (k + 1) = f j [xj (k)] + vj (k) zj (k) = hj [xj (k)] + wj (k) (16) (17) at sensor i and at sensor j.

The optimal algorithm for asynchronous track-to-track fusion. In: Proc. SPIE Conference on Signal and Data Processing of Small Targets. #7698-46, Orlando, FL (2010) 18. : Algorithms for Asynchronous Track-to-Track Fusion. J. Advances in Information Fusion 5(2), 128–138 (2010) 19. : Heterogeneous Track-to-Track Fusion. J. O. il Abstract. Estimation of target maneuvers with unknown varying turning rate is considered. The modeling of the target's equations of motion takes into account the rotation of the velocity and acceleration vectors as the target maneuvers.

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