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| Publications [#66699] of Jeffrey L. Krolik
Papers Published
- Krolik, Jeffrey L. and Anderson, Richard H., Maximum likelihood coordinate registration for over-the-horizon radar,
IEEE Transactions on Signal Processing, vol. 45 no. 4
(1997),
pp. 945 - 959 [78.564183]
(last updated on 2007/04/16)
Abstract: The coordinate registration process for over-the-horizon radar is evaluated. The process described converts the group delays and azimuths from a set of multipath target returns to an estimate of its location and employs a statistical model for uncertainties in the ionosphere. The maximum likelihood (ML) function which resulted from modelling down-range parameters achieve greater computational efficiency when approximated by a hidden Markov model (HMM) whose parameters are determined by Monte Carlo execution of a raytracing propagation model. A simulation study suggests that the ML method can potentially achieve average absolute miss distances as much as five times better than conventional coordinate registration technique.
Keywords: Markov processes;Statistical methods;Approximation theory;Ionospheric electromagnetic wave propagation;Monte Carlo methods;Computer simulation;Mathematical models;
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