This paper aims at presenting a numerical investigation of the statistical efficiency of the MUSIC (with different covariance matrix estimates) and the IAA-APES Direction of Arrivals (DOAs) estimation algorithms under a general Complex Elliptically Symmetric (CES) distributed measurement model. Specifically, the density generator of the CES-distributed data snapshots is considered as an additional, infinite-dimensional, nuisance parameter. To assess the efficiency in the considered semiparametric setting, the Semiparametric Stochastic Cramér-Rao Bound (SSCRB) is adopted as lower bound for the Mean Square Error (MSE) of the DOA estimators.
Joint Shape-Position Optimization Enhanced 2D DOA Estimation in Movable Antenna Systems
Key Laboratory of Near-Range RF Sensing ICs and Microsystems (NJUST), Ministry of Education, School of Electronic and Optical Engineering, Nanjing University of Science and Technology（南京理工大学电子与光学工程学院近程射频感知集成电路与微系统教育部重点实验室）；Qian Xuesen College, Nanjing University of Science and Technology（南京理工大学钱学森学院）
Self-Calibration DOA Estimation for Moving Dilated Arrays with Gain and Phase Errors
Key Laboratory of Near-Range RF Sensing ICs and Microsystems, Ministry of Education（教育部近程射频传感集成电路与微系统重点实验室）；School of Electronic and Optical Engineering, Nanjing University of Science and Technology（南京理工大学电子与光学工程学院）；Qian Xuesen College, Nanjing University of Science and Technology（南京理工大学钱学森学院）
