A Joint Radar-Communication Precoding Design Based on Cramér-Rao Bound Optimization

This paper investigates joint radar-communication (JRC) transmission, where a JRC precoder is designed to simultaneously perform target sensing and information signaling. We minimize the Cramér-Rao Bound (CRB) for target estimation, while guaranteeing the per-user signal-to-interference-plus-noise ratio (SINR) in the downlink. While the formulated problem is non-convex in general, we propose an efficient successive convex approximation (SCA) method, which solves a second-order cone program (SOCP) subproblem at each iteration. Numerical results demonstrate the effectiveness of the proposed JRC precoding design, showing that the SCA algorithm is able to approach the convex relaxation bound, which significantly outperforms conventional benchmark solvers in terms of both complexity and performance.