Development of a Closed-Form Solution for Instantaneous Threshold Optimization Using Modified Riccati Equation

The problem of instantaneous threshold optimization is studied. Over the earlier formulation of the problem, for Neyman-Pearson detector a closed-form solution is developed. The proposed solution provides a low-cost computational approach for setting the false alarm rate of the detector in each tracking instant instead of setting it constantly. The results are validated through experiments.