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Two-dimensional sparse linear array direction-of-arrival estimation method based on matrix matching

A direction-of-arrival estimation and matrix matching technology, which is applied to radio wave measurement systems, orientators for determining directions, and measurement devices, can solve problems related to the estimation process and large estimation errors

Pending Publication Date: 2021-05-18
AIR FORCE UNIV PLA
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a two-dimensional sparse linear array DOA estimation method based on matrix matching, which solves the correlation between the two-dimensional angle estimation process in the current two-dimensional DOA angle estimation, and makes the angle estimation error of the other dimension biased. big problem

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  • Two-dimensional sparse linear array direction-of-arrival estimation method based on matrix matching
  • Two-dimensional sparse linear array direction-of-arrival estimation method based on matrix matching
  • Two-dimensional sparse linear array direction-of-arrival estimation method based on matrix matching

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Embodiment 1

[0032] The method for estimating the direction of arrival of two-dimensional sparse linear array based on matrix matching in this embodiment specifically includes the following steps:

[0033] S1. Establish the basic model of two-dimensional sparse linear array two-dimensional DOA estimation, the array model includes M 1 = 2d and M 2 = two sub-arrays of 3d, wherein d is a half-wavelength;

[0034] S2. Define the incident angle of the lth signal as where θ l , are the angles between the incident direction of the signal and the xoz and yoz planes, assuming that a total of L far-field narrowband signals are incident into the array, the received data of the two sub-arrays in the array at time k are obtained;

[0035] S3. Obtain the received data covariance matrix of the two sub-arrays according to the received data;

[0036] S4, obtain the virtual receiving data of the continuous ULA part in the virtual array formed by the two sub-arrays on the x-axis and the y-axis;

[00...

Embodiment 2

[0053] Such as figure 1 As shown, taking the L-type Coprime array as an example to establish the basic model of two-dimensional sparse linear array two-dimensional DOA estimation, it is an L-type Coprime array composed of two Coprime arrays with the same array structure. The two array models include M 1 = 2d and M 2 =3d array, where d is a half-wavelength, then define the incident angle of the l-th signal as where θ l , are the angles between the incident direction of the signal and the xoz and yoz planes, respectively. For the convenience of marking, the two Coprime arrays on the x and y axes are respectively called S x and S y ,in, is the set of position distribution of Coprime array elements on the x-axis, M x is the total number of array elements of the Coprime array on the x-axis; is the set of position distribution of Coprime array elements on the y-axis, M yis the total number of array elements of the Coprime array on the y-axis. Assuming that a total of L ...

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Abstract

The invention relates to a direction-of-arrival estimation method, in particular to a two-dimensional sparse linear array direction-of-arrival estimation method based on matrix matching. The two-dimensional sparse linear array direction-of-arrival estimation method comprises the following steps of establishing a basic model for two-dimensional sparse linear array two-dimensional direction-of-arrival estimation, defining an incident angle of an lth signal as (theta l,), assuming that L far-field narrow-band signals are incident into the array in total, acquiring receiving data of two sub-arrays in the array at the k moment, acquiring a receiving data covariance matrix of the two sub-arrays according to the received data, acquiring virtual receiving data of a continuous ULA part in a virtual array formed by the two sub-arrays on the x axis and the y axis, constructing a Toeplitz matrix by using the virtual receiving data, then constructing spatial spectrum function to respectively obtain estimated values of two-dimensional angles and assuming that another corresponding angle estimated value in estimated values is sequentially subjected to least square algorithm and matrix characteristic decomposition to obtain angle estimated values.

Description

technical field [0001] The invention relates to a method for estimating the direction of arrival, in particular to a method for estimating the direction of arrival of a two-dimensional sparse linear array based on matrix matching. Background technique [0002] Direction of Arrival (DOA, Direction of Arrival) estimation is an important part of radar signal processing. The linear array structure can only realize the estimation of one-dimensional angle, and cannot estimate the two-dimensional angle information of the signal at the same time. In the case of signal elevation and azimuth information, it is usually necessary to use a two-dimensional array structure. Due to its simple structure, the two-dimensional DOA estimation in the two-dimensional linear array has been widely studied. In order to further expand the degree of freedom of the two-dimensional DOA estimation, the two-dimensional DOA estimation suitable for the two-dimensional sparse linear array is proposed . Comp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/00G01S7/41
CPCG01S3/00G01S7/41
Inventor 葛启超郭艺夺冯为可胡晓伟宫健
Owner AIR FORCE UNIV PLA
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