Signal to noise ratio estimation algorithm at low signaltonoise
DOI:
Author:
Affiliation:

Department of Optical and Electronicl Equipment, Equipment Academy, Beijing 101416, China

Clc Number:

TN36

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    For problem that performance of classic SNR estimation algorithm is poor. Maximum likelihood amplitude estimation algorithm is improved in this paper. It used method of bisection and steepest descend iterative search method to improve the parameter estimation accuracy and reduces the SNR estimation bias. Simulation results show that within the scope of set SNR,two iterative search algorithm performance better than ML estimation algorithm, and steepest descend iterative search method with less number of iterations.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: November 22,2017
  • Published: