# RIS-ADMM: A RIS and ADMM-Based Passive and Sparse Sensing Method With Interference Removal

arXiv: https://arxiv.org/abs/2206.06172 · HTML: https://mlsanity.com/paper/2206.06172/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 10 of its 24 references that are in the map.
- First posted on arXiv 25 May 2022.

## Builds on (most cited first, 10 of 10)

- [Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming](https://mlsanity.com/paper/1810.03961/) (2018)
- [Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network](https://mlsanity.com/paper/1905.00152/) (2019)
- [Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis](https://mlsanity.com/paper/1509.02597/) (2015)
- [Radio Localization and Mapping with Reconfigurable Intelligent Surfaces](https://mlsanity.com/paper/1912.09401/) (2019)
- [Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization](https://mlsanity.com/paper/2007.08158/) (2020)
- [Device-Free Sensing in OFDM Cellular Network](https://mlsanity.com/paper/2108.09177/) (2021)
- [Joint Communication and Radar Sensing with Reconfigurable Intelligent Surfaces](https://mlsanity.com/paper/2105.01966/) (2021)
- [Radar Target Detection aided by Reconfigurable Intelligent Surfaces](https://mlsanity.com/paper/2104.00768/) (2021)
- [RIS-Assisted Communication Radar Coexistence: Joint Beamforming Design and Analysis](https://mlsanity.com/paper/2201.07399/) (2022)
- [MetaRadar: Multi-target Detection for Reconfigurable Intelligent Surface Aided Radar Systems](https://mlsanity.com/paper/2202.12473/) (2022)

## Abstract (arXiv)

Reconfigurable Intelligent Surfaces (RIS) emerge as promising technologies in future radar and wireless communication domains. This letter addresses the passive sensing issue utilizing wireless communication signals and RIS amidst interference from wireless access points (APs). We introduce an atomic norm minimization (ANM) approach to leverage spatial domain target sparsity and estimate the direction of arrival (DOA). However, the conventional semidefinite programming (SDP)-based solutions for the ANM problem are complex and lack efficient realization. Consequently, we propose a RIS-ADMM method, an innovative alternating direction method of multipliers (ADMM)-based iterative approach. This method yields closed-form expressions and effectively suppresses interference signals. Simulation outcomes affirm that our RIS-ADMM method surpasses existing techniques in DOA estimation accuracy while maintaining low computational complexity. The code for the proposed method is available online urlhttps://github.com/chenpengseu/RIS-ADMM.git.