Joint Radar and Communication based Blind Signal Separation using a New Non-Linear Function for Fast-ICA
- Resource Type
- Conference
- Authors
- Naeem, Ahmed; Arslan, Huseyin
- Source
- 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) Vehicular Technology Conference (VTC2021-Fall), 2021 IEEE 94th. :1-5 Sep, 2021
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Transportation
Wireless communication
Vehicular and wireless technologies
Interference
Independent component analysis
Blind source separation
Robustness
Sensors
Blind signal separation
coexistence
Fast-ICA
interference mitigation
JRC
negentropy approximation
- Language
- ISSN
- 2577-2465
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.