Abstract
This letter focuses on the performance analysis on the Adaptive Sidelobe Blanker (ASB) detection algorithm in homogeneous environments, and provides closed summation expressions for Probability of Detection (PD) and Probability of False Alarm (PFA) rate in terms of hypergeometric function. The derived results are more powerful and effective than previous integral ones. Moreover, the framework can be modified to solve the the performance analysis problem involving in F or/and beta distributions. Several numerical evaluations of the convergence rate and computation time are provided and discussed.
