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Expanded aperture 2 dimensional DOA estimation method based on cross correlation matrix

A technology of cross-correlation matrix and aperture, which is applied in the direction of direction determination, measuring devices, instruments, etc., and can solve problems such as large computational complexity and ambiguity.

Inactive Publication Date: 2018-02-16
TIANJIN UNIV
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Problems solved by technology

On the other hand, expanding the aperture can effectively improve the resolution of the array and the angle estimation accuracy, but it will appear blurred
Some algorithms propose fuzzy algorithms, but because the algorithm itself is based on the ESPRIT algorithm, it has a large computational complexity

Method used

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  • Expanded aperture 2 dimensional DOA estimation method based on cross correlation matrix
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  • Expanded aperture 2 dimensional DOA estimation method based on cross correlation matrix

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Embodiment Construction

[0077] Aiming at the problems existing in the existing DOA estimation algorithm, the present invention proposes an extended two-dimensional DOA estimation algorithm based on a non-uniform 2-L array. The antenna array is a non-uniform 2-L array. There are two uniform linear arrays with the number of array elements M on the axis and the z axis respectively, denoted by X, Y, Z, P, Q, and W respectively. The distance between the array elements in each sub-array is half of the wavelength of the incoming signal; the distance between the two sub-array elements on each coordinate axis is d s (d s =tλ, t is a positive integer).

[0078] The technical scheme that the present invention adopts: the extended aperture two-dimensional DOA estimation algorithm based on cross-correlation matrix, it is characterized in that, comprises the following steps:

[0079]

[0080] Construction and division of cross-correlation matrix

[0081] 1) Construct a cross-correlation matrix; 2) Divide the...

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Abstract

The invention relates to the technologies for estimating DOA of receiving signals by using array antennas, simply needs to conduct linear calculation on cross correlation matrix subblocks, and has a lower calculation complexity; and can achieve automatic pairing between elevation and azimuth. According to the invention, the technical solution discloses an expanded aperture 2 dimensional DOA estimation method based on a cross correlation matrix. The method herein includes the following steps: 1. constructing a cross correlation matrix; 2. dividing the cross correlation matrix to obtain subblocks which have an order which is equal to the number of signals; 3. based on the subblocks, constructing an azimuth information matrix and an elevation information matrix that contains automatic pairing; 4. obtaining a direction cosine estimate having z-axis low precision and no fuzzy and a corresponding characteristic vector matrix [gamma]; 5. obtaining a direction cosine having a z-axis high precision fuzzy; 6. repeating steps 1-5, being able to obtain two direction cosines corresponding to the x-axis and the y-axis; 7. obtaining a direction cosine having high precision and no fuzzy; and 8. obtaining automatic pairing. According to the invention, the method herein is applied to technologies for estimating DOA of receiving signals by using array antennas.

Description

technical field [0001] The present invention relates to the technical field of estimating the direction of arrival of received signals by using an array antenna, in particular to a method for estimating the direction of arrival of a signal using a non-uniform 2-L antenna array, specifically, an extended aperture two-dimensional DOA estimation method based on a cross-correlation matrix. Background technique [0002] Space signal direction of arrival (Direction of Arrival, DOA) estimation is a main research direction of space spectrum estimation, which is widely used in radar, sonar, earthquake, communication and many other fields. The basic problem of DOA estimation is to determine the direction angle at which each signal arrives at the reference element of the array, referred to as the direction of arrival. Classical subspace decomposition DOA estimation algorithms include multiple signal classification algorithm (MUSIC, Multiple Signal Classification) and signal parameter e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/00
CPCG01S3/00
Inventor 杨晋生项杨陈为刚
Owner TIANJIN UNIV
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