Fitzpatrick Institute for Photonics Fitzpatrick Institute for Photonics
Pratt School of Engineering
Duke University

 HOME > pratt > FIP    Search Help Login 

Publications [#66684] of Jeffrey L. Krolik

Papers Published

  1. Anderson, Richard H. and Krolik, Jeffrey L., Performance of maximum likelihood over-the-horizon radar coordinate registration, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 4 (1998), pp. 2481 - 2484, Seattle, WA, USA [ICASSP.1998.681654]
    (last updated on 2007/04/16)

    Abstract:
    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.

    Keywords:
    Radar measurement;Computer simulation;Statistical methods;Mathematical models;Markov processes;Approximation theory;Signal to noise ratio;Random processes;Probability density function;


Duke University * Pratt * Reload * Login
x