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| Publications [#66684] of Jeffrey L. Krolik
Papers Published
- 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;
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