A successive convex approximation plus shifted generalized power iteration algorithm is proposed to maximize the weighted sum of communication rate and negative Cramér-Rao bound in ISAC beamforming.
An overview of signal processing techniques for joint communication and radar sensing,
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Low-Complexity Cram\'er-Rao Lower Bound and Sum Rate Optimization in ISAC Systems
A successive convex approximation plus shifted generalized power iteration algorithm is proposed to maximize the weighted sum of communication rate and negative Cramér-Rao bound in ISAC beamforming.