Interference and noise cancellation for joint communication radar (JCR) system based on contextual information
This addresses interference and noise issues for spectrum sensing in JCR systems, but it is incremental as it builds on existing methods with specific optimizations.
The paper tackled the problem of separating wireless communication and radar signals in joint communication radar systems to ensure cohabitation and improve physical layer security, achieving low root-mean-square error values even at low signal-to-noise ratios.
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.