Publication | Closed Access
Sparse Nested Arrays With Spatially Spread Orthogonal Dipoles: High Accuracy Passive Direction Finding With Less Mutual Coupling
63
Citations
25
References
2021
Year
EngineeringSensor ArraySpread Orthogonal DipolesSmart AntennaLess Mutual CouplingArray ComputingNested ArrayImaging RadarComputational ElectromagneticsSynthetic Aperture RadarAntennaDirection Estimation AmbiguitiesInverse ProblemsSignal ProcessingRadarArray ProcessingSparse Nested ArraysBeamformingAntenna Arrays
In sensor array processing, the minimum sensor/element-spacing is usually restricted within a half-wavelength in order to avoid estimation aliasing. This would cause sensor/element mutual coupling when antenna-electromagnetics are considered. Based on the recently proposed nested array (NA) concept, we present a new type of NA called sparse nested spatially spread orthogonal dipole array (SNODA) to realize underdetermined direction finding with less mutual coupling. In SNODA, the sensor/element-spacing can be extended to be much higher than a half-wavelength so that the effect of sensor coupling will be much reduced. The direction estimation ambiguities caused by aperture extension is resolved by combining both spatial and element responses of spread orthogonal dipoles. Matlab code for reproduction of the results is available at https://github.com/jinhesjtu/SNODA-DF.git.
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