In monopulse radar target tracking systems, estimation of the radar cross section (RCS) of a given target under track is important for many reasons that include efficient waveform selection and revisit rate. In practice, for Rayleigh (Swerling I and II) targets, the RCS is calculated assuming an exponentially distributed observed SNR and using the parameter estimator for that distribution. However, detection thresholding and voltage saturation result in a censored distribution that may not be well addressed by the exponential estimator. In this paper, a maximum likelihood estimator of the target RCS is derived and compared to exponential parameter estimation. In addition, computationally cheaper approximations of the MLE are suggested and evaluated.
Improved calculation of monopulse target RCS
01.03.2012
354085 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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