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Direction of arrival estimation method based on multiple signal classification algorithm vector correlation

A technology of direction of arrival estimation and multiple signal classification, which is used in radio wave direction/bias determination systems, direction-determining directional devices, and direction finders using radio waves, etc., which can solve the performance deterioration and failure of super-resolution direction finding algorithms. and other problems, to achieve the effect of improving robustness, high angle measurement resolution and angle measurement accuracy

Active Publication Date: 2017-02-22
XIDIAN UNIV
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Problems solved by technology

At this time, the performance of these super-resolution direction-finding algorithms will seriously deteriorate, or even fail.

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  • Direction of arrival estimation method based on multiple signal classification algorithm vector correlation
  • Direction of arrival estimation method based on multiple signal classification algorithm vector correlation
  • Direction of arrival estimation method based on multiple signal classification algorithm vector correlation

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Embodiment Construction

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] Embodiments of the present invention provide a method for estimating direction of arrival based on multiple signal classification algorithm vector correlation, such as figure 1 As shown, the method includes the following steps:

[0021] Step 1, setting the radar uniform line array, obtaining radar receiving data according to the radar uniform line array, and determining the first steering vector a(θ) and the second steering vector a(θ′) according to the...

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Abstract

The present invention belongs to the radar signal processing technology field, and discloses a direction of arrival estimation method based on multiple signal classification algorithm vector correlation. The method comprises the steps of setting a radar uniform linear array, obtaining the radar reception data according to the radar uniform linear array, and determining a first steering vector and a second steering vector according to the radar uniform linear array; according to the radar reception data, calculating a covariance matrix of the radar reception data, and carrying out the eigenvalue decomposition on the covariance matrix of the radar reception data to obtain a noise subspace of the radar reception data; according to the first and second steering vectors and the noise subspace of the radar reception data, determining a first correlation vector and a second correlation vector; according to the first and second correlation vectors, constructing a spatial spectrum function; according to the spatial spectrum function, carrying out the maximum likelihood estimation on a direction of arrival to obtain an estimation value of the direction of arrival, thereby improving the angle resolution and the robustness of a direction finding performance.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a method for estimating a direction of arrival based on a vector correlation of a multiple signal classification algorithm, which can be used for target positioning and tracking. Background technique [0002] Subspace algorithms represented by multiple signal classification MUSIC and rotation invariant subspace ESPRIT are one of the most important methods for signal direction of arrival DOA estimation. This type of algorithm uses the orthogonality between signal subspace and noise subspace to estimate DOA according to the number of known sources. Since the signal subspace and the noise subspace are completely orthogonal under the noise-free model, the subspace algorithm can theoretically distinguish two objects that are infinitely close together. noise ratio and antenna aperture limitations. [0003] Moreover, the super-resolution direction-finding p...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14
CPCG01S3/143
Inventor 陈伯孝余方伟杨明磊
Owner XIDIAN UNIV
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