# Radar Target Detection aided by Reconfigurable Intelligent Surfaces

arXiv: https://arxiv.org/abs/2104.00768 · HTML: https://mlsanity.com/paper/2104.00768/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Apr 2021.

## Built on by (most cited first, 2 of 2)

- [Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces](https://mlsanity.com/paper/2205.03793/) (2022)
- [RIS-ADMM: A RIS and ADMM-Based Passive and Sparse Sensing Method With Interference Removal](https://mlsanity.com/paper/2206.06172/) (2022)

## Abstract (arXiv)

In this work, we consider the target detection problem in a sensing architecture where the radar is aided by a reconfigurable intelligent surface (RIS), that can be modeled as an array of sub-wavelength small reflective elements capable of imposing a tunable phase shift to the impinging waves and, ultimately, of providing the radar with an additional echo of the target. A theoretical analysis is carried out for closely- and widely-spaced (with respect to the target) radar and RIS and for different beampattern configurations, and some examples are provided to show that large gains can be achieved by the considered detection architecture.