An Adaptive Detector with Range Estimation Capabilities for Partially Homogeneous Environment

In this work, we devise an adaptive decision scheme with range estimation capabilities for point-like targets in partially homogeneous environments. To this end, we exploit the spillover of target energy to consecutive range samples and synthesize the Generalized Likelihood Ratio Test. The performance analysis, conducted resorting to both simulated data and real recorded datasets, highlights that the newly proposed architecture can guarantee superior detection performance with respect to its competitors while retaining accurate estimation capabilities of the target position.