The paper addresses the design of adaptive radar detectors having desired behavior, in Gaussian disturbance with unknown statistics. Specifically, given detection probability specifications for chosen signal-to-noise ratios and steering vector mismatch levels, a methodology for the optimal design of customized CFAR detectors is devised in a suitable feature plane based on maximal invariant statistics. To overcome the analytical and numerical intractability of the resulting optimization problem, a novel general reduced-complexity algorithm is developed, which is shown to be effective in providing a close approximation of the desired detector. The proposed approach solves the open problem of ensuring a prefixed false alarm probability while controlling the behavior under both matched and mismatched conditions, so enabling the design of fully customized adaptive CFAR detectors.
@article{arxiv.2203.12565,
title = {Design of Customized Adaptive Radar Detectors in the CFAR Feature Plane},
author = {Angelo Coluccia and Alessio Fascista and Giuseppe Ricci},
journal= {arXiv preprint arXiv:2203.12565},
year = {2022}
}