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Coprime array coherent signal azimuth estimation method based on variational Bayesian inference

A variational Bayesian and coherent signal technology, applied in the field of signal processing, can solve the problems of degradation of estimation performance, inability to meet engineering requirements, slow operation speed of convex optimization methods, etc., to achieve the effect of wide application value and reduced workload

Inactive Publication Date: 2019-02-01
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Among them, the calculation speed of the convex optimization method is very slow, and in the case of low signal-to-noise ratio, the estimation accuracy is not ideal, and the performance against coherent signals is not strong; in the case of low signal-to-noise ratio, the estimation performance of the greedy algorithm drops sharply, which can no longer meet the requirements of engineering need

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  • Coprime array coherent signal azimuth estimation method based on variational Bayesian inference
  • Coprime array coherent signal azimuth estimation method based on variational Bayesian inference
  • Coprime array coherent signal azimuth estimation method based on variational Bayesian inference

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] The realization steps of the present invention are as follows:

[0035] Step 1: Use D sensors to form a coprime array, and assume that an N coherent narrowband signal is incident on the coprime array from the far field, and Gaussian white noise is added during signal propagation. The coprime array consists of two array elements with 2M 1 and M 2 The uniform linear array is composed of two uniform linear arrays, and the array element spacing of the two uniform linear arrays is M 2 d and m 1 d, Two uniform linear arrays are arranged collinearly with the same initial array elements. Among them, D=2M 1 +M 2 -1, M 1 and N 2 are mutually prime numbers, and d is the wavelength of the incident signal. Using the pair of spatial signals to receive samples, a D×L dimensional array output signal matrix X is obtained, which is called observation data...

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Abstract

The invention provides a coprime array coherent signal azimuth estimation method based on variational Bayesian inference. Under a Bayesian estimation frame, a Bayesian inference algorithm is used forcarrying out iterated interpolation on the observation data of the coprime array to obtain the output signal data of a virtual nonuniform linear array to achieve a purpose of array aperture expansion,and parameter estimation is carried out to obtain the azimuth estimation of an incident signal. By use of the method, sampling data which is far below sampling data required by Nyquist sampling frequency can be used for accurately estimating a target signal azimuth, the working burden of a signal processing system is greatly lowered, signals more than an array element number can be distinguished,and the method has a wide application value in the real environment.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a method for estimating the azimuth angle of coherent array coherent signals. Background technique [0002] It is an important content in sonar, radar, radio and other fields to estimate the azimuth angle of target signal by using sensor array. Commonly used high-resolution target azimuth estimation algorithms can be divided into two types based on subspace decomposition and sparse representation. The representative of the first type of method is the multiple signal classification MUSIC algorithm based on the rank decomposition of the signal covariance matrix, but this algorithm cannot be directly applied to the azimuth estimation of coherent signals, and in the case of low SNR and small number of snapshots Under , the estimation performance is severely degraded. The second type of method makes full use of the characteristics of signal sparse distribution in space to ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14G01S3/802G01S3/782
CPCG01S3/143G01S3/782G01S3/8027
Inventor 杨杰杨益新禄婕一
Owner NORTHWESTERN POLYTECHNICAL UNIV
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