Direction-of-arrival estimation method based on coprime-type L-type electromagnetic vector sensor array

Abstract

The invention discloses a direction-of-arrival estimation method based on a coprime-type L-type electromagnetic vector sensor array, mainly to solve the problems of serious electromagnetic component mutual coupling and low angle measurement precision of the electromagnetic vector sensor array in the prior art. The realization process comprises steps: 1) a coprime-type L-type electromagnetic vectorsensor array is constructed; 2) a receiving data model of target signals is built, and a signal subspace matrix of the array is calculated; 3) the ambiguous direction cosine estimation values for thetarget signals by two sparse scalar uniform linear subarrays are calculated; 4) an ambiguous direction cosine estimation value for the target signals by a triangular electromagnetic vector sensor iscalculated; and 5) the target signal direction cosine estimation value is subjected to ambiguity resolution, and a two-dimensional spatial direction of arrival of the target is obtained. The sparse scalar uniform linear array is adopted, the pore size is larger, the angle measurement precision is higher, phase centers of an electric dipole and a magnetic ring are separated, mutual coupling betweenreceiving signal electromagnetic components is reduced, and the method can be used for angle positioning on the target by a radar.

Description

technical field [0001] The invention belongs to the technical field of radar, and further relates to a method for estimating a direction of arrival, which can be used for angle positioning of a target and improves the angle measurement performance of a radar antenna for a target signal. Background technique [0002] The electromagnetic vector sensor is composed of three orthogonal electric dipoles and three orthogonal magnetic rings whose phase centers coincide, so it is also called a common-point electromagnetic vector sensor, which can measure the three-dimensional electric field component and three-dimensional magnetic field component. Compared with the traditional array, the electromagnetic vector sensor array has the advantage that it can extract more useful information, such as polarization information, by sensing the electromagnetic components of the incident wave in different directions; and by combining the polarization domain information and the spatial domain info...

AI Technical Summary

Problems solved by technology

However, since the components of the separate electromagnetic vector sensor are separated in space, the phase shift factor is introduced, so the vector cross product algorithm cannot be directly used for target DOA estimation

[0004]In 2014, Keyong Han et al. proposed an array combining the common-point electromagnetic vector sensor and the uniform linear array ULA to estimate the two-dimensional direction of arrival. However, Since the array unit of this method array is a common-point electromagnetic vector sensor, there is a large mutual coupling effect between each component, which makes the accuracy of the target two-dimensional direction of arrival decrease.

In terms of array design for target two-dimensional direction of arrival estimation, the above-mentioned prior art has presented an array that combines a common-point electromagnetic vector sensor with a uniform linear array ULA, but due to the limited aperture of the uniform linear array, the two After the combination, there is a large mutual coupling between the array units of the entire array, and the angle measurement accuracy is not high

Replacing the uniform linear array with a coprime array can make up for the above shortcomings, but there is no relevant research on the combination of an electromagnetic vector sensor and a coprime array to estimate the two-dimensional direction of arrival of a target.

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