Ellipse Combining with Unknown Cross Ellipse Correlations

01/28/2021
by   Adam Hall, et al.
0

We discuss the combining of measurements where single measurement covariances are given but the joint measurement covariance is unknown. For this paper we assume the mapping of a single measurement to the solution space is the identity matrix. We examine the solution when it is assumed all measurements are uncorrelated. We then present a way to parameter joint measurement covariance based on pairwise correlation coefficients. Finally, we discuss how to use this parameterization to combine the measurements.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/30/2019

Cooperative Localization under Limited Connectivity

We report two novel decentralized multi-agent cooperative localization a...
research
10/28/2022

Statistical Comparison among Brain Networks with Popular Network Measurement Algorithms

In this research, a number of popular network measurement algorithms ha...
research
06/03/2019

Optimal measurement network of pairwise differences

When both the difference between two quantities and their individual val...
research
05/10/2018

Uncertainty relations and information loss for spin-1/2 measurements

We formulate entropic measurements uncertainty relations (MURs) for a sp...
research
03/11/2023

Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model

In this paper, we present an algorithm for learning time-correlated meas...
research
06/30/2021

Scale-wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes

The increased use of low-cost gyroscopes within inertial sensors for nav...
research
07/06/2011

On the information-theoretic structure of distributed measurements

The internal structure of a measuring device, which depends on what its ...

Please sign up or login with your details

Forgot password? Click here to reset