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Sparse direction of arrival angle estimation method based on multi-input and multiple-output array

A technology of direction angle, multi-transmit and multi-receive, which is applied in radio wave direction/deviation determination system, orientator for measuring direction, direction finder using radio wave, etc. It can solve the problem that it is difficult to meet the requirements of engineering estimation accuracy and cannot use MIMO array Multiple sets of transmitted signals, loss of estimation accuracy, etc.

Active Publication Date: 2020-02-21
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is that the traditional sparse recovery method cannot utilize multiple sets of transmitted signals of the MIMO array, resulting in a loss in the estimation accuracy of the direction of arrival angle. It is difficult to meet the actual estimation accuracy requirements of engineering

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  • Sparse direction of arrival angle estimation method based on multi-input and multiple-output array
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  • Sparse direction of arrival angle estimation method based on multi-input and multiple-output array

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Embodiment Construction

[0076] The present invention will be further described below in conjunction with accompanying drawing:

[0077] figure 1 It is the general processing flow of the present invention.

[0078] A novel sparse direction-of-arrival angle estimation method based on a multi-transmit multi-receive coprime array according to the present invention comprises the following steps:

[0079] S1 establishes a signal model;

[0080] Estimation and vectorization of S2 signal covariance matrix;

[0081] S3 uses coprime array processing method to expand the degree of freedom of space;

[0082] S4 uses the nearest neighbor operator method to obtain the target direction of arrival estimation;

[0083] S5 determines the target incoming wave direction and quantity.

[0084] figure 2 For the method of the present invention and the traditional joint sparse angle estimation method based on a single transmitting element (ZhaoTan and Arye Nehorai, "Sparse Direction of Arrival Estimation Using Co-Pri...

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Abstract

The invention belongs to the field of array signal processing, and particularly relates to a sparse direction of arrival angle estimation method based on a multiple-input multiple-output array. The method comprises the following steps of s1, establishing a signal model; S2, estimating and vectorizing a signal covariance matrix; S3, expanding the spatial degree of freedom by using a co-prime matrixprocessing method; S4, obtaining target direction of arrival estimation by adopting a neighbor operator method; and S5, determining a target direction of arrival and number. The method disclosed by the invention has the following beneficial effects that the multi-target angle estimation precision under the conditions of low signal-to-noise ratio and small samples can be improved, and method for estimating the target angle is fast in iterative rate of convergence, and high in operation efficiency, can be applied to a real-time multi-target angle estimation system, and has important engineeringapplication value.

Description

technical field [0001] The invention belongs to the field of array signal processing, and in particular relates to a sparse DOA angle estimation method based on a Multiple Input Multiple Output (MIMO) array. Background technique [0002] Direction of Arrival Estimation (DOAE) is a very important problem in the field of array signal processing, and related algorithms can be widely used in radar detection, sonar navigation, multi-channel communication and other fields. Most of the traditional target angle estimation algorithms are based on subspace signal flow analysis or belong to the maximum likelihood estimation algorithm. However, these two types of algorithms often have limited resolution and are greatly affected by factors such as the correlation between target signals, the number of samples collected, and the signal-to-noise ratio of the system, so it is difficult to adapt to various complex application environments in practice. [0003] With the introduction of the sp...

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Application Information

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IPC IPC(8): G01S3/14
CPCG01S3/143
Inventor 张新禹刘永祥姜卫东霍凯黎湘
Owner NAT UNIV OF DEFENSE TECH
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