# Interference and noise cancellation for joint communication radar (JCR) system based on contextual information

arXiv: https://arxiv.org/abs/2302.06786 · HTML: https://mlsanity.com/paper/2302.06786/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 28 references that are in the map.
- First posted on arXiv 14 Feb 2023.

## Builds on (most cited first, 5 of 5)

- [Convex optimization](https://mlsanity.com/paper/2106.01946/) (2021)
- [An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing](https://mlsanity.com/paper/2102.12780/) (2021)
- [Joint Radar and Communication Design: Applications, State-of-the-art, and the Road Ahead](https://mlsanity.com/paper/1906.00789/) (2019)
- [Enhancing the Physical Layer Security of Dual-functional Radar Communication Systems](https://mlsanity.com/paper/1906.09284/) (2019)
- [UAV-Aided Jamming for Secure Ground Communication with Unknown Eavesdropper Location](https://mlsanity.com/paper/1911.11279/) (2019)

## Abstract (arXiv)

This paper examines the separation of wireless communication and radar signals, thereby guaranteeing cohabitation and acting as a panacea to spectrum sensing. First, considering that the channel impulse response was known by the receivers (communication and radar), we showed that the optimizing beamforming weights mitigate the interference caused by signals and improve the physical layer security (PLS) of the system. Furthermore, when the channel responses were unknown, we designed an interference filter as a low-complex noise and interference cancellation autoencoder. By mitigating the interference on the legitimate users, the PLS was guaranteed. Results showed that even for a low signal-to-noise ratio, the autoencoder produces low root-mean-square error (RMSE) values.