Beamforming Design for Integrated Sensing and Communication Systems With Finite Alphabet Input

Joint beamforming for integrated sensing and communication (ISAC) is an efficient way to combine two functionalities in a system at the waveform level. This letter proposes design ISAC systems with finite alphabet signaling. We formulate problem maximize minimum Euclidean distance (MMED) among noise-free received signal vectors under constraint given power constraint. To tackle formulated optimization problem, we transform it into semi-definite programming (SDP) solve by relaxation (SDR) method. Comprehensive comparisons existing schemes show that our proposed offers lower symbol error rate (SER), higher mutual information, also better performance than designs.