The propagator method for source bearing estimation
Signal Processing
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
On the MUSIC-derived Approaches of Angle Estimation for Bistatic MIMO Radar
WNIS '09 Proceedings of the 2009 International Conference on Wireless Networks and Information Systems
Direction finding with automatic pairing for bistatic MIMO radar
Signal Processing
Acoustic vector-sensor array processing
IEEE Transactions on Signal Processing
Closed-Form Blind 2D-DOD and 2D-DOA Estimation for MIMO Radar with Arbitrary Arrays
Wireless Personal Communications: An International Journal
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In this paper, the problem of two-dimensional angle estimation for monostatic multi-input multi-output (MIMO) array is studied, and an algorithm based on the usage of velocity receive sensors is proposed. The algorithm applies the estimation method of signal parameters via rotational invariance technique (ESPRIT) algorithm to obtain automatically paired two-dimensional angle estimation. By utilizing the relationship within the outputs of velocity sensors, the rotational invariance property of ESPRIT does not depend on the array geometry any more. Hence, the proposed algorithm can provide two-dimensional DOA estimation for the MIMO array without the knowledge of sensor locations in the array. The algorithm requires no peak searches, so it has low complexity. Furthermore, it has better angle estimation performance than propagator method using the same sensor configuration. Error analysis and Cramer-Rao bound (CRB) of angle estimation in MIMO radar are derived. Simulation results verify the usefulness of the algorithm.