Image (mathematics)

Physics

Channel (broadcasting)

Engineering

Telecommunications link

Signal-to-noise ratio (imaging)

Channel state information

Artificial intelligence

Power (physics)

Architectural engineering

Joint (building)

Computer network

Interference (communication)

Computer science

Beamforming

Wireless

Quantum mechanics

Base station

Telecommunications

Real-time computing

Signal-to-interference-plus-noise ratio

Noise (video)

IEEE Communications Letters

We consider the problem of the joint design of transmit and receive beamforming (TRBF) vectors for integrated sensing and communication systems in the signal-dependent interference scenario. The dual-functional base station can communicate with downlink users and detect targets simultaneously. By adopting the signal-to-interference-plus-noise ratio (SINR) as performance metrics for both radar and communication, we propose the joint design of the TRBF strategy to manifest the balance of radar and communication in both perfect and imperfect channel state information scenarios. Meanwhile, the upper bound performance of the SINR for target detection is analyzed. Numerical results show the SINR trade-offs between target detection and user communication.

Joint Transmit and Receive Beamforming Design for Integrated Sensing and Communication