In order to avoid the multi-dimensional spectrum peak search for multiple parameters estimation, a hybrid algorithm with uniform circular array (UCA) of electromagnetic vector sensors based on the beamspace transformation is proposed. In the beamspace, the azimuth angle can be split from other parameters and can be estimated without using spectral peak search. Then, the elevation estimation can be obtained with the estimated azimuth angle via a one-dimensional spectrum peak search. Finally, the polarized parameters are obtained based on the estimated azimuth and elevation angle via the engine decomposition with the modulus constraint. Its computation complexity is superior to the one of the tradition MUSIC and the existing reduced-dimensional algorithm.
['Julan Xie', 'Xue Yang', 'Huiyong Li', 'Jinfeng Hu']
A hybrid algorithm for multiple parameters estimation with UCA of electromagnetic vector sensors