The performance of maximum likelihood over-the-horizon radar coordinate registration

Journal Article

A well-known source of target localization errors in over-the-horizon radar is the uncertainty about downrange ionospheric conditions. Maximum likelihood (ML) coordinate registration, using statistical modeling of ionospheric parameters, has recently been proposed as a method which is robust to ionospheric variability. This paper reports ML performance results for real data from a known target using estimates of ionospheric statistics derived from ionosonde measurements. Bootstrap samples derived from these statistics are then used in a hidden Markov model approximation to the ground range likelihood function. Comparison of the ML and conventional methods for over 250 radar dwells indicates the new technique achieves better than a factor of two improvement in ground range accuracy. © 1998 IEEE.

Full Text

Duke Authors

Cited Authors

  • Anderson, RH; Krolik, JL

Published Date

  • January 1, 1998

Published In

Volume / Issue

  • 4 /

Start / End Page

  • 2481 - 2484

International Standard Serial Number (ISSN)

  • 1520-6149

Digital Object Identifier (DOI)

  • 10.1109/ICASSP.1998.681654

Citation Source

  • Scopus