Parameter estimation for space surveillance based on sparse reconstruction

No abstract is available for this paper.

• Publication year

  2012

• Venue

  International Workshop on Cognitive Information Processing

• Publication date

  Unknown publication date

• Fields of study

  Physics, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/CIP.2012.6232920
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• An Analysis of Recent Major Breakups in he Low Earth Orbit Region

  2010cited by this paper
• A Potential Integrated Multiwavelength Radar System at the Medicina Radiotelescopes

  2009cited by this paper
• Capabilities of the Irkutsk Incoherent Scattering Radar for Space Debris Studies

  2009cited by this paper
• The Use of FrFT in Radar Systems for Space Debris Surveillance

  2009cited by this paper
• Instability of the Present LEO Satellite Populations

  2008cited by this paper
• Advantages of Karhunen–Loève transform over fast Fourier transform for planetary radar and space debris detection

  2007cited by this paper
• Stable recovery of sparse overcomplete representations in the presence of noise

  2006cited by this paper
• An effective orbit estimation algorithm for a space debris radar using the quasi-periodicity of the evaluation function

  2006cited by this paper
• Data streams: algorithms and applications

  2005cited by this paper
• A sparse signal reconstruction perspective for source localization with sensor arrays

  2005influential reference
• Decoding by linear programming

  2005cited by this paper
• Graves: the New French System for Space Surveillance

  2005cited by this paper
• Stable signal recovery from incomplete and inaccurate measurements

  2005cited by this paper
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

  2004cited by this paper
• Real-time space debris monitoring with EISCAT

  2004cited by this paper
• Noise sensitivity of sparse signal representations: reconstruction error bounds for the inverse problem

  2003cited by this paper
• Comparison of debris flux models

  2002cited by this paper
• The New NASA Orbital Debris Engineering Model ORDEM2000

  2002cited by this paper
• A variational technique for source localization based on a sparse signal reconstruction perspective

  2002cited by this paper
• Generalizations of the sampling theorem: Seven decades after Nyquist

  2001cited by this paper
• Uncertainty principles and ideal atomic decomposition

  2001cited by this paper
• Atomic Decomposition by Basis Pursuit

  1998cited by this paper
• Error analysis for laser-based metric calibration of the Naval Space Surveillance System

  1998cited by this paper
• Extrapolation and spectral estimation with iterative weighted norm modification

  1991cited by this paper
• Acquisition Streamlining Efforts within the Space and Naval Warfare Systems Command.

  1987cited by this paper
• Experimental Observations of Naval Space Surveillance Satellite Signals with an Out-of-Plane Receiving Station

  1982cited by this paper

• Noise resistance of next-generation reservoir computing: a comparative study with high-order correlation computation

  2023cites this paper