Asset Details
Do you wish to reserve the book?
On the application of the expectation-maximisation algorithm to the relative sensor registration problem
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
On the application of the expectation-maximisation algorithm to the relative sensor registration problem
Do you wish to request the book?
On the application of the expectation-maximisation algorithm to the relative sensor registration problem
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
On the application of the expectation-maximisation algorithm to the relative sensor registration problem
2013
Overview
An important prerequisite for successful multisensor integration is that the data from the reporting sensors are transformed to a common reference frame free of systematic or registration bias errors. The relative sensor registration (or grid-locking) process aligns remote data to local data under the assumption that the local data are bias free and that all biases reside with the remote sensor. In this study, an algorithm based on the expectation-maximisation approach is proposed to estimate all the registration errors involved in the grid-locking problem, that is, attitude, measurement and position biases. Its statistical performance is investigated by Monte Carlo simulation and compared with that of a previously derived linear least squares estimator and to the hybrid Cramér–Rao lower bound.
Publisher
The Institution of Engineering and Technology,The Institution of Engineering & Technology
Subject
We currently cannot retrieve any items related to this title. Kindly check back at a later time.