Joint Beamforming Design for Extended Target Estimation and Multiuser Communication
Fan Liu, Christos Masouros
Abstract
In this paper, we propose a novel multi-input multi-output (MIMO) beamforming design towards joint radar sensing and multiuser communication. To characterize the performance of the radar functionality, we derive a closed form of the mean squared error (MSE) for target estimation given a probing signal. Furthermore, we propose to minimize the estimation MSE while guaranteeing the signal-to-interference-plus-noise ratio (SINR) of each communication user. While the formulated optimization problem is non-convex, it can be solved via the semidefinite relaxation algorithm. Finally, numerical results are provided to validate the effectiveness of the proposed approach.
Topics & Concepts
BeamformingComputer scienceMIMOSignal-to-noise ratio (imaging)Mean squared errorAlgorithmRelaxation (psychology)Joint (building)Signal-to-interference-plus-noise ratioRadarInterference (communication)Mathematical optimizationConvex optimizationRegular polygonMathematicsTelecommunicationsStatisticsEngineeringChannel (broadcasting)Social psychologyGeometryPsychologyQuantum mechanicsPhysicsArchitectural engineeringPower (physics)Radar Systems and Signal ProcessingDirection-of-Arrival Estimation TechniquesAdvanced SAR Imaging Techniques