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Multi-dimensional sensor array information source direction finding method based on degraded space ARMA model

A sensor array and sensor technology, applied to direction finders using radio waves, orientators for measuring directions, instruments, etc., can solve problems such as complex estimation

Pending Publication Date: 2021-11-12
JILIN UNIV
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  • Application Information

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Problems solved by technology

To sum up, two-dimensional source direction finding is much more complicated in theory and method than single-angle DoA estimation based on Azimuth-only ULA model

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  • Multi-dimensional sensor array information source direction finding method based on degraded space ARMA model
  • Multi-dimensional sensor array information source direction finding method based on degraded space ARMA model
  • Multi-dimensional sensor array information source direction finding method based on degraded space ARMA model

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Embodiment Construction

[0060] Include the following steps:

[0061] (1), 3D body array model:

[0062] Without loss of generality, a 3-dimensional volume array is directly considered, which is composed of M×N×L isotropic sensor array elements, and the number of sensor array elements parallel to the X, Y, and Z axes is M . k , θ k ), k=1,...,K, after setting the sensor element located at the origin of the body array coordinates as the zero phase element, the kth signal source propagates to the (m,n,l)th of the 3D body array Phase shift of array element for:

[0063]

[0064] Among them, m takes 1,...,M; n takes 1,...,N; l takes 1,...,L. and represent the component phases parallel to the X, Y and Z axis directions respectively, and ULA is not involved, then we put and defined as the component phase parameter item. Equation (1) shows that the phase of the external source incident on any sensor element in the multi-dimensional array is a linear combination of three parameter terms.

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Abstract

The invention relates to a multi-dimensional sensor array information source direction finding method based on a degraded spatial ARMA model, and belongs to two-dimensional information source direction finding based on a multi-dimensional array in array signal processing. The method comprises calculation of a three-dimensional array model, information source phase difference estimation of any ULA in a multi-dimensional array, a ULA classification criterion in the multi-dimensional array, an information source phase difference (or angle) pairing scheme in the multi-dimensional array, and an information source elevation angle and an information source azimuth angle in the multi-dimensional array. The method has the advantages that any ULA in the multi-dimensional array can be processed, and the two-dimensional information source direction finding method can be matched with and give play to the advantages of the multi-dimensional array ULA and data richness of the multi-dimensional array ULA; a ULA combination criterion capable of realizing automatic matching of signal source phase differences is given, the provided direction finding method can process ULA under two azimuth angle definitions, and the signal property of signal source and sensor array element noise is only required to be stable; according to the direction finding method, multi-dimensional array data are directly processed, matrix eigenvalue decomposition or singular value decomposition is not involved, and calculation is efficient.

Description

technical field [0001] The invention belongs to two-dimensional source direction finding based on a multi-dimensional array in array signal processing, and can be widely used in research related to target parameter estimation, positioning, identification and tracking in the fields of radar, sonar, communication, seismic exploration and automatic driving. Background technique [0002] Array signal processing based on various sensor arrays is a modern signal processing technology that has developed rapidly in the past 30 to 40 years. be widely used. Source direction finding (Estimation of Direction-of-arrival) is a basic content in array signal processing, and has very important military, civilian and people's livelihood values. [0003] The multi-dimensional array can provide elevation angle and azimuth angle, and can describe the external incident signal source more precisely. Therefore, two-dimensional source direction finding (also called joint estimation of source elevat...

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Application Information

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IPC IPC(8): G01S3/00G01S3/14
CPCG01S3/00G01S3/14Y02D30/70
Inventor 姚桂锦张海蓉岳东旭李玲赵海艳
Owner JILIN UNIV