Quaternion-based electromagnetic vector sensor array wave direction-of-arrival estimation method

Abstract

The invention provides a MUSIC-based full electromagnetic vector sensor noncircular signal wave direction-of-arrival estimation method, and direction of arrival of a two-dimensional wave is obtained through two-dimensional spectrum peak search. In the method, an EMVS is regarded as three groups of co-centered orthogonal loop and dipole (COLD) antennas, and thus a quaternion model for spatial polarization domain decoding is constructed, and quaternion-domain observation vector is augmented; compared with a complex MUISC and quad-quaternary MUSIC method, the method has more concise model and has no expression redundancy nor aperture loss; when a received signal has a noncircular signal, the model provided in the invention can carry out aperture virtual extension; and the method is better in direction-of-arrival estimation precision than an existing algorithm.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, in particular to a quaternion-based method for estimating the direction of arrival of an electromagnetic vector sensor array. Background technique [0002] At present, polarization-sensitive arrays are widely used in the fields of satellite communication and information countermeasures. Compared to scalar arrays, such arrays exhibit better performance in object detection, signal source localization, and beamforming due to their perception of polarization differences of incident signals. Among many types of polarization-sensitive arrays, the full electromagnetic vector sensor (EMVS) placed at the same point by three orthogonal dipoles and three orthogonal magnetic rings can measure all electric and magnetic components of incident electromagnetic waves, so it can obtain All polarization information of the signal. [0003] Traditional algorithms model the output of EMVS in the form...

AI Technical Summary

Problems solved by technology

However, as a four-dimensional multivariate algebra, the quaternion can only mathematically describe the complex signal output of the two-component vector sensor. To fully describe the six-component EMVS output complex signal, at least twelve-dimensional multivariate algebra is required.

As a sixteen-dimensional multivariate algebra, four quaternions can represent the complex signal structure output by six-component EMVS, but there is redundancy in the imaginary part

Images