Astrometric and Photometric Data Fusion for Mass and Surface Material Estimation using Refined Bidirectional Reflectance Distribution Functions-Solar Radiation Pressure Model

Abstract

This paper studies the inference of space object mass, which is made possible due to the coupled influence of solar radiation pressure(SRP) acceleration on the orbit of satellites and their observed brightness. This effect takes time to be observed in optical angle measurements given the combination of a priori kinematic state uncertainties and the magnitude of this effect relative to them and the sensor data noise. Therefore, multiple nights of observations are typically required to extract this "weak" signal from collected measurements. From angles data alone, only effective albedo-area-to-mass can be estimated since this term appears in the SRP acceleration equation, but when photometric data is fused with the astrometric angle measurements, it provides observability of, and thus constrains, the albedo-area estimates. This inferred constraint makes mass the most open degree of freedom and thus the fused data eventually informs the filter of the mass. The observability of albedo-area products is provided by the photometric brightness measurements, since the brightness of the space object is a strong function of the albedo-areas. However, the relationship between the albedo-areas and both the photometric return and SRP involves knowledge of the Bidirectional Reflectance Distribution Function(BRDF) for the surface of the space object. If the BRDF in the photometric measurement model and the BRDF in the SRP model are not consistent with each other, then the resulting estimated albedo-areas and mass are inaccurate and biased. This work studies the use of physically consistent BRDF-SRP models for mass estimation. Simulation studies are used to provide an indication of the benefits of using these new models. An unscented Kalman filter approach that includes BRDF and mass parameters in the state vector is used. The full set of estimated parameters includes position, velocity, attitude, angular rates, mass, exponential factor, specular coefficient and diffuse coefficient.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2013
Accession Number
ADA593458

Entities

People

  • Charles J. Wetterer
  • John L. Crassidis
  • Keric A. Hill
  • Moriba K. Jah
  • Richard Linares

Organizations

  • Pacific Defense Strategies Inc.

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Data Fusion
  • Distribution Functions
  • Geosynchronous Orbits
  • Kalman Filters
  • Materials
  • Measurement
  • Orbits
  • Radiation
  • Radiation Pressure
  • Reflectance
  • Reflection
  • Simulations
  • Solar Radiation
  • Space Objects
  • Surface Properties

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Astronomy and Astrophysics.
  • Atmospheric Remote Sensing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space
  • Space - Orbital Debris