DOA Estimation using fast EM and SAGE Algorithms
Signal Processing - Image and Video Coding beyond Standards
Multitarget identification and localization using bistatic MIMO radar systems
EURASIP Journal on Advances in Signal Processing
Fast communication: Joint DOD and DOA estimation for bistatic MIMO radar
Signal Processing
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing
On Probing Signal Design For MIMO Radar
IEEE Transactions on Signal Processing
Diversity Gain for MIMO Neyman–Pearson Signal Detection
IEEE Transactions on Signal Processing
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions
IEEE Transactions on Signal Processing
Evaluation of Transmit Diversity in MIMO-Radar Direction Finding
IEEE Transactions on Signal Processing
Designing structured tight frames via an alternating projection method
IEEE Transactions on Information Theory
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In this paper, the maximum likelihood estimation (MLE) of the direction of departure (DOD) and direction of arrival (DOA) of multiple targets for bistatic multiple input multiple output (MIMO) radar is addressed. We derive the maximum likelihood estimator of the DOD and DOA with the assumption that the targets are unknown but deterministic. Moreover, we provide a compact expression of the Cramer Rao bound (CRB) under this nonrandom framework. Since the MLE of the target DOD and DOA is related to a high-dimensional nonlinear optimization problem, we propose alternating projection (AP) to solve it efficiently. Numerical simulations demonstrate that the AP based MLE can provide accurate estimations of the target DOD and DOA and achieves the CRB in the asymptotic region. Furthermore, results also show that the proposed algorithm outperforms the existing ESPRIT and MUSIC algorithm for the uniform linear array (ULA) configuration of the transmitted and received array.