Coprime array wave arrival direction angle estimation method based on variable-decibel bayesian inference

A direction of arrival and variational Bayesian technology, applied in the field of direction of arrival estimation of coprime arrays, can solve problems such as high computational complexity, slow convergence speed, and affecting local maximum values, and achieve good estimation performance, The effect of reducing model dimension and reducing algorithm complexity

Active Publication Date: 2019-02-01
NORTHWESTERN POLYTECHNICAL UNIV
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This algorithm usually uses the expectation-maximum EM algorithm to iteratively solve the target parameters, but the EM algorithm is not suitable for the situation where the calculation of the

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  • Coprime array wave arrival direction angle estimation method based on variable-decibel bayesian inference
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[0044] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0045] The M-element coprime array used in the present invention consists of two sensors whose numbers are respectively M 1 and 2M 2 -1 uniform linear array, all sensors are placed on the same line, and the coordinate sets of sensor positions are respectively {M 2 m 1 d,0≤m 1 ≤M 1 -1} and {M 1 m 2 d,1≤m 2 ≤2M 2 -1}. It is assumed that K far-field independent narrowband signals in space are incident on the coprime array, and Gaussian white noise with a mean value of zero is added during signal propagation. Among them, M 1 and M 2 are mutually prime numbers, K≥1, 0

[0046] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0047] Step 1: Calculate the sampling covariance matrix R of the data received by the coprime matrix.

[004...

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Abstract

The invention provides a coprime array wave arrival direction angle estimation method based on variable-decibel bayesian inference; receiving and sampling are performed on spatial signals by utilizingthe coprime array, and a sparse model vector is constructed according to the sampling covariance matrix; the wave arrival angle estimation problem is converted into a sparse reconstruction problem ina linear model, and an amplitude spectrogram is drawn; and an x-axis coordinate corresponding to the peak point is searched from the amplitude spectrogram, namely, the obtained wave arrival directionangle estimation value. The angle searching or angle matching process of the traditional method is avoided, meanwhile, the sampling frequency can be lower than the nyquist sampling rate, and better estimation performance can be obtained under the condition of a low snapshot number, so that the model dimension is greatly reduced, the calculation amount and the sparse reconstitution speed are improved, direct solution in the complex distribution form is avoided, the algorithm complexity is reduced, and the algorithm convergence speed is improved.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a method for estimating the direction-of-arrival angle of coprime array waves. Background technique [0002] Signal DOA estimation technology is an important content in the field of array signal processing. It refers to the use of sensor arrays to receive space signals, and then use modern signal processing methods to quickly and accurately estimate the incident direction of signal sources. It has been used in radar , sonar, wireless communication and many other fields have been widely used. [0003] The array structure mainly used in the traditional DOA estimation method is a uniform linear array, and the number of resolvable targets is limited by the number of physical elements of the array. Sparse arrays can obtain larger apertures than traditional uniform linear arrays when the number of array elements is the same, which reduces economic costs, and thus has attracted widespr...

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Application Information

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