# New ECCM Techniques Against Noise-like and/or Coherent Interferers

## TL;DR

This paper introduces innovative adaptive radar detection techniques that effectively mitigate noise-like and coherent interferers using joint covariance estimation and compressive sensing, enhancing target detection in complex interference scenarios.

## Contribution

It proposes a novel two-step covariance matrix estimation method and applies compressive sensing for interference mitigation and target parameter estimation, advancing radar detection capabilities.

## Key findings

- Enhanced detection performance in noisy and interfered environments.
- Effective suppression of noise-like and coherent jammers.
- Accurate estimation of interference parameters and target localization.

## Abstract

Multiple-stage adaptive architectures are conceived to face with the problem of target detection buried in noise, clutter, and intentional interference. First, a scenario where the radar system is under the electronic attack of noise-like interferers is considered. In this context, two sets of training samples are jointly exploited to devise a novel two-step estimation procedure of the interference covariance matrix. Then, this estimate is plugged in the adaptive matched filter to mitigate the deleterious effects of the noise-like jammers on radar sensitivity. Besides, a second scenario, which also includes the presence of coherent jammers, is addressed. Specifically, the sparse nature of data is brought to light and the compressive sensing paradigm is applied to estimate target response and coherent jammers amplitudes. The likelihood ratio test, where the unknown parameters are replaced by previous estimates, is designed and assessed. Remarkably, the sparse approach allows for echo classification and estimation of both angles of arrival and number of the interfering sources. The performance analysis, conducted resorting to simulated data, highlights the effectiveness of the newly proposed architectures also in comparison with suitable competing architectures (when they exist).