# Adaptive Radar Detection of Dim Moving Targets in Presence of Range Migration

## TL;DR

This paper presents an adaptive radar detection method for dim moving targets affected by range migration, using model order selection to estimate target position within the CPI and improve detection performance.

## Contribution

It introduces a novel adaptive detection approach that formulates the problem as a multiple hypothesis test with model order selection for better target localization.

## Key findings

- Effective detection of dim targets demonstrated
- Outperforms existing detection methods
- Robustness to range migration effects

## Abstract

This paper addresses adaptive radar detection of dim moving targets. To circumvent range migration, the detection problem is formulated as a multiple hypothesis test and solved applying model order selection rules which allow to estimate the "position" of the target within the CPI and eventually detect it. The performance analysis proves the effectiveness of the proposed approach also in comparison to existing alternatives.