Joint Radar and Communication based Blind Signal Separation using a New Non-Linear Function for Fast-ICA

Joint radar and communication (JRC) is a fast emerging research field to cope up with the ever-growing applications dependent on both sensing and communication. However, frequent issues are faced for JRC systems including interference mitigation, transmission design and signal analysis. This paper focuses on blind signal separation (BSS) of spectral coexistence JRC signals for blindly extracting sensing information from the communication signal for spectrum awareness, also this BSS is used for interference mitigation by using a modified fast independent component analysis (Fast-ICA) algorithm. Furthermore, a new non-linear function is introduced for Fast-ICA which tends to have better performance of separation with low time computational complexity. The numerical analysis shows the effectiveness and practicality of the system by using modified Fast-ICA algorithm in separating JRC signals successfully compared to other separation methods.