Improved ESPRIT Algorithm Based on Single Electromagnetic Vector Sensor

To take full advantage of the non-circular conjugate signal being not zero correlation characteristics, improve the direction of arrival (DOA) and the accuracy of parameter estimation, a robust algorithm DOA and polarization estimation was proposed. First, two fourth-order cumulant matrix of non-circular signals were constructed, then the estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm thinking was introduced, and the rotation operator was obtained using these two rotational invariance relationship matrices to achieve signal DOA and polarization estimation. Compared with the second-order phase domain ESPRIT, the improved algorithm applies to arbitrary polarization state of the signal, improve the utilization of the estimated signal and take advantage of Gaussian noise suppression of fourth-order cumulate (FOC) to process the related noise, so that the accuracy of the estimate signal has improved significantly, and the simulation results show the effectiveness of the improved algorithm.