Power-aware improvement in signal detection. Metadata

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  • Main Title Power-aware improvement in signal detection.


  • Author: Briles, S. D. (Scott D.)
    Creator Type: Personal
  • Author: Shriver, P. M. (Patrick M.)
    Creator Type: Personal
  • Author: Gokhale, M. (Maya)
    Creator Type: Personal
  • Author: Harikumar, J. (Jayashree)
    Creator Type: Personal


  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization


  • Name: Los Alamos National Laboratory
    Place of Publication: United States


  • Creation: 2003-01-01


  • English


  • Content Description: Improvements in signal detection characteristics for a remote-sensing instrument can be achieved at the expense of computational effort and the power associated with that effort. DSP used in remote sensing scenarios usually involves the detection of a signal and the estimation of parameters as sociated with that signal . Fortunately, the algorithms used for parameter estimation are the same algorithms which, through postprocessing decision making, decrease the false alarm rate . This post processing allows for the reduction in the false alarm rate as seen at the end product of the instrument . The level of false alarm reduction must be balanced against the amount of additional power that is needed to produce this level . This paper will present quantitative results that demonstrate this tradeoff for a specific application . This paper focuses on the detection of transient radio frequency (RF) events (e.g., lighting) as observed from the FORTE satellite . However the methodology presented for power-aware improvement in signal detection is general enough to be applied to most remote-sensing scenarios . A suite of algorithms, which vary widely in their precision of estimated parameters, is presented in the paper . Equally wide in variation is the amount of power required by each of the algorithms. Power requirements of the algorithms were obtained by actual physical measurement for a mimic of a RAD750 processor . Algorithm performance was determined via Monte Carlo testing . Using that same Monte Carlo testing post-pro ce ssing, thresholds for each of the algorithms were developed for the reduction of the false alarm rate. A quantitative display of how each of the algorithms decreases the false alarm rate over the front-end analog detection is displayed versus the power required.
  • Physical Description: [15] p.


  • Keyword: Decision Making
  • Keyword: Testing
  • Keyword: Transients
  • Keyword: Remote Sensing
  • Keyword: Processing
  • Keyword: Signals Power Award Computing
  • Keyword: Signal Detection
  • Keyword: Detection
  • Keyword: Accuracy
  • STI Subject Categories: 97 Mathematical Methods And Computing
  • Keyword: Satellites
  • Keyword: Power Award Computing
  • Keyword: Performance
  • Keyword: Algorithms


  • Conference: Submitted to: International Signal Processing Conference 2003, March 31, 2003 - April 3, 2003, Dallas, TX


  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI


  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article


  • Text


  • Report No.: LA-UR-03-0420
  • Grant Number: none
  • Office of Scientific & Technical Information Report Number: 976518
  • Archival Resource Key: ark:/67531/metadc934100