Adaptive Detection of Dim Maneuvering Targets in Adjacent Range Cells

TL;DR

This paper introduces adaptive detection schemes for dim maneuvering targets that migrate across multiple range cells, utilizing Bayesian and likelihood methods to improve detection accuracy with reduced complexity.

Contribution

It proposes six novel adaptive decision schemes for detecting maneuvering targets across range cells, addressing computational efficiency and limited training data challenges.

Findings

Effective detection of maneuvering targets demonstrated in simulations

Reduced computational complexity of the proposed detectors

Robust performance with limited training data

Abstract

This letter addresses the detection problem of dim maneuvering targets in the presence of range cell migration. Specifically, it is assumed that the moving target can appear in more than one range cell within the transmitted pulse train. Then, the Bayesian information criterion and the generalized likelihood ratio test design procedure are jointly exploited to come up with six adaptive decision schemes capable of estimating the range indices related to the target migration. The computational complexity of the proposed detectors is also studied and suitably reduced. Simulation results show the effectiveness of the newly proposed solutions also for a limited set of training data and in comparison with suitable counterparts.