Spacecraft Navigation Systems Application of Optimal Filtering PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Spacecraft Navigation Systems Application of Optimal Filtering PDF full book. Access full book title Spacecraft Navigation Systems Application of Optimal Filtering by Reed Duncan Hamilton. Download full books in PDF and EPUB format.
Author: Reed Duncan Hamilton
Publisher:
ISBN:
Category : Laser communication systems
Languages : en
Pages : 96
Get Book Here
Book Description
Author: Reed Duncan Hamilton
Publisher:
ISBN:
Category : Laser communication systems
Languages : en
Pages : 96
Get Book Here
Book Description
Author: John D. McLean
Publisher:
ISBN:
Category : Aerodynamics
Languages : en
Pages : 66
Get Book Here
Book Description
Author: Alexander V. Nebylov
Publisher: John Wiley & Sons
ISBN: 1119163072
Category : Technology & Engineering
Languages : en
Pages : 391
Get Book Here
Book Description
Compiled by leading authorities, Aerospace Navigation Systems is a compendium of chapters that present modern aircraft and spacecraft navigation methods based on up-to-date inertial, satellite, map matching and other guidance techniques. Ranging from the practical to the theoretical, this book covers navigational applications over a wide range of aerospace vehicles including aircraft, spacecraft and drones, both remotely controlled and operating as autonomous vehicles. It provides a comprehensive background of fundamental theory, the utilisation of newly-developed techniques, incorporates the most complex and advanced types of technical innovation currently available and presents a vision for future developments. Satellite Navigation Systems (SNS), long range navigation systems, short range navigation systems and navigational displays are introduced, and many other detailed topics include Radio Navigation Systems (RNS), Inertial Navigation Systems (INS), Homing Systems, Map Matching and other correlated-extremalsystems, and both optimal and sub-optimal filtering in integrated navigation systems.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 90
Get Book Here
Book Description
Author: Gerald L. Smith
Publisher:
ISBN:
Category : Space trajectories
Languages : en
Pages : 68
Get Book Here
Book Description
Statistical filter theory is employed to develop a method for determining the best possible estimate of the position and velocity of a space vehicle in the midcourse phase of flight. Results of a computer simulation are given to illustrate the performance attainable. An onboard system is visualized in which the source of information is an arbitrary sequence of observations of space angles, corrupted by measurement errors. The scheme is in effect a dynamical time-varying filter, implemented by a digital computer, which processes the incoming data to compute an up-to-date optimal estimate of position and velocity.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 956
Get Book Here
Book Description
Author: John D. MacLean
Publisher:
ISBN:
Category :
Languages : en
Pages : 1
Get Book Here
Book Description
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722702366
Category :
Languages : en
Pages : 86
Get Book Here
Book Description
A new derivation of an algorithm which fuses the outputs of two Kalman filters is presented within the context of previous research in this field. Unlike other works, this derivation clearly shows the combination of estimates to be optimal, minimizing the trace of the fused covariance matrix. The algorithm assumes that the filters use identical models, and are stable and operating optimally with respect to their own local measurements. Evidence is presented which indicates that the error ellipsoid derived from the covariance of the optimally fused estimate is contained within the intersections of the error ellipsoids of the two filters being fused. Modifications which reduce the algorithm's data transmission requirements are also presented, including a scalar gain approximation, a cross-covariance update formula which employs only the two contributing filters' autocovariances, and a form of the algorithm which can be used to reinitialize the two Kalman filters. A sufficient condition for using the optimally fused estimates to periodically reinitialize the Kalman filters in this fashion is presented and proved as a theorem. When these results are applied to an optimal spacecraft rendezvous problem, simulated performance results indicate that the use of optimally fused data leads to significantly improved robustness to initial target vehicle state errors. The following applications of estimate fusion methods to spacecraft rendezvous are also described: state vector differencing, and redundancy management. Carpenter, J. Russell Johnson Space Center...
Author: United States. National Aeronautics and Space Administration
Publisher:
ISBN:
Category :
Languages : en
Pages : 760
Get Book Here
Book Description
Author: Cornelius T. Leondes
Publisher:
ISBN:
Category : Control theory
Languages : en
Pages : 560
Get Book Here
Book Description
Contents: Linear estimation theory; Further comments on the derivation of Kalman filters; Computational techniques in Kalman filtering; Modeling errors in Kalman filters; Suboptimal Kalman filter techniques; Comparison of Kalman, Bayesian and maximum likelihood estimation techniques; Nonlinear filtering and comparison with Kalman filtering; Linear smoothing techniques (post-flight data analysis); Nonlinear smoothing techniques; General questions on Kalman filtering in navigation systems; Application of Kalman filtering theory to augmented inertial navigation systems; Application of Kalman filtering to Baro/inertial height systems; Application of Kalman filtering to the C-5 guidance and control system; Application of Kalman filtering techniques to the Apollo program; Some applications of Kalman filtering in space guidance; Application of Kalman filtering for the alighnment of carrier aircraft inertial navigation systems; Navigation at sea using the invariants form of Kalman filtering; Marine applications of Kalman filtering; Optimal use of redundant information in an inertial navigation; Application of Kalman filtering techniques to strapdown system initia-alignment; and A Kalman filter augmented marine navigation system.
