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We first establish the dynamic Radar Cross Section (RCS) signal model for a conical ballistic missile warhead with precession motion. Scintillation is modeled as a log-normal multiplicative noise. The distribution of the obtained RCS signal is nonGaussian and cannot be obtained in closed-form. Hence, the exact Maximum Likelihood Estimation (MLE) of the pertinent parameter, the missile precession frequency,...
In order to extract the precession frequency, which is an important feature parameter in ballistic missile target recognition, we first establish the dynamic Radar Cross Section (RCS) signal model for a conical ballistic missile warhead with precession motion. A homomorphic filter is designed to remove the scintillation effect in the RCS signal. Simulations show the practical usefulness of the proposed...
We establish the dynamic Radar Cross Section (RCS) signal model for a conical ballistic missile warhead with precession motion. Two Maximum Likelihood Estimation (MLE) approaches are presented for the estimation of the important missile precession frequency. In one method we approximate a log-normal multiplicative process by a Gaussian process. In the second method we assume zero additive noise. While...
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