Numerically Efficient Determination of the Optimal Threshold in Natural Frequency-Based Radar Target Recognition

In this communication, we address a numerical method to efficiently calculate a non-zero optimal threshold value for the performance improvement of a natural frequency-based radar target recognition. From the probability of correct classification with respect to a varying threshold value, we define a function, denoted by f(z) in this communication, so that one of the roots of f(z) = 0 corresponds to the optimal threshold. The final optimal threshold value is obtained via the Newton iteration. The scheme is validated by comparing the threshold obtained from the Newton iteration with that using the probability density function.