Fast communication: Joint DOD and DOA estimation for bistatic MIMO radar
Signal Processing
Joint transmitter and receiver polarization optimization for scattering estimation in clutter
IEEE Transactions on Signal Processing
Optimal polarized beampattern synthesis using a vector antenna array
IEEE Transactions on Signal Processing
Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
IEEE Transactions on Signal Processing
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Vector-sensor array processing for electromagnetic sourcelocalization
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Acoustic vector-sensor array processing
IEEE Transactions on Signal Processing
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Recently developed MIMO array systems, which use spatially separated but colocated scalar-antennas in both transmit and receive modes, can fully exploit waveform diversity and spatial diversity to offer significant performance improvement over traditional phased-array based systems. Unlike these structure, in this paper, we present a MIMO array system that is composed of electromagnetic vector antennas (EMVA). Parameterizing the target locations by azimuth-elevation arrival angles and adopting the ESPRIT algorithm, the presented MIMO array system provides closed-form automatically paired azimuth-elevation angle estimation, resolves up to six targets with distinct locations, requires no restrictions on transmit antennas placement, and offers a performance better than the MIMO array system with spatially separated scalar-antennas of comparable receive data size. All these advantages are achieved by additional polarization diversity offered by the EMVA.