Orbital reference frame estimation with power spectral density constraints for drag-free satellites

Local orbital frame predictor for LEO drag-free satellite

This paper is concerned with on-board real-time position and rate prediction of the spacecraft centre-of-mass as input data to local orbital frame (LORF) determination for Low-Earth Orbit drag-free satellites. Study and simulation results are justified by Drag-Free and Attitude Control of the GOCE satellite (Gravity field and steady-state Ocean Circulation Explorer), the LORF being the instanta...

Orbital Dynamics of Large Solar Power Satellites

Model-Free Power-Spectral-Density Estimation for Low-Light-Level CMOS Imaging Sensors

We report on a method to estimate the noise power spectral density (PSD) of a CMOS image sensor (CIS), without any prior analytical assumptions. The method is based on the swept time operation of the correlated double sampling (CDS) output of a low-light-level CIS. We illustrate the method’s applicability through a direct frequency domain analysis of noise contributions to the sensor performanc...

Orbital-corrected orbital-free density functional theory.

A new implementation of density functional theory (DFT), namely orbital-corrected orbital-free (OO) DFT, has been developed. With at most two non-self-consistent iterations, OO-DFT accomplishes the accuracy comparable to fully self-consistent Kohn-Sham DFT as demonstrated by its application on the cubic-diamond Si and the face-centered-cubic Ag systems. Our work provides a new impetus to furthe...

Noise Power Spectral Density Estimation on Highly Correlated Data

In this contribution the Minimum Statistics noise power spectral density estimator [1] is revised for the particular case of highly correlated data which is observed for example when framewise processing with considerable frame overlap is performed. For this special case the noise power estimator tends to underestimate the noise power. We identify the variance estimator in the Minimum Statistic...