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Lattice error model-based mesh-free sparse approximate minimum variance direction of arrival (DOA) estimation method

A sparse approximation and minimum variance technology, applied in the field of signal processing, can solve the problem of inaccurate DOA estimation and achieve high positioning accuracy

Active Publication Date: 2019-02-05
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0006] In order to avoid the deficiencies of the prior art, the present invention proposes a gridless sparse approximate minimum variance DOA estimation method based on the grid error model, so that the DOA estimation accuracy of the SAMV algorithm is not limited by grid division. The estimation of the error between the grid and the target azimuth solves the problem of inaccurate DOA estimation caused by the mismatch between the signal azimuth and the grid point of the SAMV algorithm

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  • Lattice error model-based mesh-free sparse approximate minimum variance direction of arrival (DOA) estimation method
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  • Lattice error model-based mesh-free sparse approximate minimum variance direction of arrival (DOA) estimation method

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[0037] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0038] The technical solution adopted by the present invention to solve its technical problems comprises the following steps:

[0039] 1) Establish an array receiving signal model based on the grid error model

[0040] The M-element uniform line array with the element spacing of half wavelength is used as the receiving array to receive single-frequency signals. Each sensor on the uniform line array converts the received underwater acoustic signal into an electrical signal, and obtains a discrete time-domain signal through an amplification circuit and a data collector x i (n), 0≤n≤N, i=1, . . . , M. Divide the observation space [-90°, 90°] (where 90° is the end-fire direction) into Q grids, and the vector composed of the direction angles represented by each grid point is denoted as Θ, Θ=[θ 1 , θ 2 ,...,θ Q ]. When the signal is distributed on the discrete gr...

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Abstract

The invention relates to a lattice error model-based mesh-free sparse approximate minimum variance direction of arrival (DOA) estimation method. A lattice error model-based array receiving signal model is built, a signal, a noise power and a lattice error are sequentially and iteratively solved according to the model, so that the positioning accuracy of the sparse approximate minimum variance DOAestimation method is free from the limitation of space lattice division accuracy, and relatively high DOA estimation accuracy still can be achieved when DOA of a target signal is not matched with a lattice point.

Description

technical field [0001] The invention belongs to the field of signal processing and the like, and relates to a grid-free sparse approximate minimum variance DOA estimation method based on a grid error model. By estimating the error between the grid and the signal orientation, the mismatch between the grid division and the signal orientation is avoided The resulting DOA estimation error. Background technique [0002] Array signal processing is widely used in radar, sonar and other fields, and the estimation of direction of arrival (DOA) is a major task of array signal processing. The DOA estimation algorithm for sparse signal processing is a DOA estimation algorithm developed in the past ten years. Compared with the conventional DOA estimation algorithm, this type of DOA estimation algorithm can be applied to the case of small snapshots and low signal-to-noise ratio, and its performance is far superior. Much better than conventional DOA estimation algorithms. [0003] Sparse...

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Application Information

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IPC IPC(8): G01S3/14G01S3/782
CPCG01S3/14G01S3/782
Inventor 杨益新张亚豪
Owner NORTHWESTERN POLYTECHNICAL UNIV
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