Signal direction-of-arrival estimation method and device based on sparse symmetric array

A symmetrical array and direction estimation technology, which is applied to radio wave direction/deviation determination systems, measuring devices, and direction-determining orientators, etc., can solve the problems of array aperture loss and low accuracy of source angle estimation, and achieve good angle resolution rate and estimation accuracy, avoiding phase ambiguity issues, and improving utilization

Inactive Publication Date: 2020-06-23
广州通导信息技术服务有限公司
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Problems solved by technology

[0004] In order to overcome the deficiencies in the prior art above, the purpose of the present invention is to provide a method and device for estimating the direction of arrival of a signal based on a sparse symmetric array, so as to solve the problem of the loss of the array aperture of the existing uniform linear array and the accuracy of the estimation of the source angle. The problem of too low can effectively expand the array aperture, make full use of the signal information received by the array, and have better angular resolution and estimation accuracy

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  • Signal direction-of-arrival estimation method and device based on sparse symmetric array
  • Signal direction-of-arrival estimation method and device based on sparse symmetric array
  • Signal direction-of-arrival estimation method and device based on sparse symmetric array

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[0126] In this example, if Figure 4 As shown, the DOA estimation process of the present invention is as follows:

[0127] Step 1, perform fourth-order cumulant operations on the data received between different arrays, and construct five fourth-order cumulant vectors;

[0128] Step 2, merge the constructed five fourth-order cumulant vectors into a long vector with uniform phase change;

[0129] Step 3, constructing a Toeplitz (Toeplitz) matrix using the fourth-order cumulant vector of merging, which has a form equivalent to the uniform linear array covariance;

[0130] Step 4, performing eigenvalue decomposition on the Toeplitz matrix;

[0131] Step 5, calculate the signal subspace V of the received data according to the signal unitary space s and the noise subspace V n ;

[0132] Step 6, use the sparse reconstruction method to estimate all source azimuths.

[0133] Figure 5 It is a comparison chart of the root mean square error of the source angle of the present inven...

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Abstract

The invention discloses a signal direction-of-arrival estimation method and device based on a sparse symmetric array, and the method comprises the following steps: S1, constructing the sparse symmetric array which consists of a plurality of uniform sub-arrays with unequal array element intervals; S2, calculating and constructing a fourth-order cumulant vector with a uniformly changed phase difference through the fourth-order cumulants of the received data of the different sub-array elements, and constructing a toeplitz matrix equivalent to the uniform linear array covariance matrix through thefourth-order cumulant vector; and S3, estimating azimuth angles of all the information sources by utilizing a sparse reconstruction method based on the constructed toeplitz matrix. Through the method, the problems of array aperture loss and too low information source angle estimation precision of an existing uniform linear array can be solved.

Description

technical field [0001] The present invention relates to the technical field of signal direction of arrival estimation, in particular to a signal direction of arrival (Direction Of Arrial, DOA) estimation method and device based on a sparse symmetrical array. Background technique [0002] Signal direction of arrival (Direction Of Arrial, DOA) is an important content of array signal processing, and has a wide range of applications in wireless communication, sonar, radar, navigation and seismic detection and other fields. [0003] In the past ten years, many effective high-resolution algorithms have been proposed, such as multiple signal classification algorithm (multiple signal classification, MUSIC) and rotation invariant subspace algorithm (estimation of signal parameters via rotational invariance techniques, ESPRIT) and so on. However, these algorithms usually solve the situation that the array is a uniform array, and the distance between adjacent array elements cannot exce...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14
CPCG01S3/143
Inventor 喻勤陈维向汝宏张保国黄国祥莫怀冬
Owner 广州通导信息技术服务有限公司
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