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
DOA estimation for mixed signals in the presence of mutual coupling
IEEE Transactions on Signal Processing
Direction finding and mutual coupling estimation for bistatic MIMO radar
Signal Processing
Direction finding in partly calibrated sensor arrays composed of multiple subarrays
IEEE Transactions on Signal Processing
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing
A Novel Online Mutual Coupling Compensation Algorithm for Uniform and Linear Arrays
IEEE Transactions on Signal Processing
Unitary ESPRIT: how to obtain increased estimation accuracy with areduced computational burden
IEEE Transactions on Signal Processing
Comments on "Linearization method for finding Cramer-Rao bounds insignal processing" [and reply]
IEEE Transactions on Signal Processing
Linearization method for finding Cramer-Rao bounds in signalprocessing
IEEE Transactions on Signal Processing
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
Estimation of frequencies and damping factors by two-dimensionalESPRIT type methods
IEEE Transactions on Signal Processing
Transmit Energy Focusing for DOA Estimation in MIMO Radar With Colocated Antennas
IEEE Transactions on Signal Processing
Hi-index | 0.08 |
In this paper, a decoupling-complex matrix (DCCM) method is proposed for joint direction of departure (DOD) and direction of arrival (DOA) estimation in the presence of unknown mutual coupling for bistatic MIMO radar system with orthogonal transmitted waveforms. The proposed method proceeds in two steps. First, the mutual coupling effect is compensated by setting the auxiliary elements on both sides of the transmitting and receiving uniform linear arrays (ULAs). Then, a complex matrix is constructed to estimate the DOD and DOA where the correct pairing is automatically given by the real and imaginary parts of complex eigenvalues. In addition, the mutual coupling coefficients can be solved in closed-form as a natural by-product of the DOD and DOA estimates. The effectiveness of our method is demonstrated with numerical simulations. The closed-form expressions for determined Cramer-Rao bounds (CRB) on angle and mutual coupling coefficient estimations are also derived.