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A Direction of Arrival Estimation Method for Centers of Distributed Sources Based on Bayesian Compressive Sensing

A technology of direction of arrival estimation and Bayesian compression, which is applied to the components of radio wave directors, direction finders using radio waves, etc., can solve the problem of few estimation methods

Inactive Publication Date: 2017-10-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

In addition, there are few methods for applying compressive sensing methods to distributed source-centered DOA estimation.

Method used

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  • A Direction of Arrival Estimation Method for Centers of Distributed Sources Based on Bayesian Compressive Sensing
  • A Direction of Arrival Estimation Method for Centers of Distributed Sources Based on Bayesian Compressive Sensing
  • A Direction of Arrival Estimation Method for Centers of Distributed Sources Based on Bayesian Compressive Sensing

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Embodiment

[0059] according to figure 1 , the steps of the estimation method of distributed source center DOA based on Bayesian compressed sensing of the present invention are as follows:

[0060] Step 1. Set up the antenna array as figure 2 As shown, the array is an M=8-element uniform linear array set on the x-axis, and the distance between each array element and the array is the same as d, considering that K far-field narrowband signal sources are incident on the array, where , K=2, d=λ / 2, λ is the wavelength of the signal carrier;

[0061] Step 2. Since the signal source propagates in a multipath environment, the data vector x(t) received by the array can be expressed as:

[0062]

[0063] in, θ k is the central DOA of the incident source, The value range of is 0°~10°, and obey Gaussian distribution, β kl (t) is a random complex gain that obeys a Gaussian distribution, L k =200 is the total number of multipath signals of the kth distributed source, s k (t) is the kth ...

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Abstract

The invention provides a distributed source center DOA estimation method based on Bayesian compressed sensing, which belongs to the technical field of wireless mobile communication. It mainly solves the inherent error problem of central direction of arrival estimation when the source central angle of arrival is not on the angle sampling grid. The present invention establishes an approximate array data receiving model of distributed sources by setting an antenna array composed of parallel uniform linear arrays, and samples the angle of the air domain, and constructs a parameterized over-complete redundant dictionary by using array steering vectors, so that the distributed source center The direction of arrival estimation problem is transformed into a sparse matrix equation solution problem, and then the Bayesian compressed sensing method is used to solve the equation system, and the sparsest solution of the unknown sparse vector is obtained, according to the one-to-one correspondence between the sparse solution and the airspace angle Obtains an estimate of the central direction of arrival. The method of the invention has low computational complexity, and has the characteristics of high resolution and high precision under the condition of small snapshots.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for estimating direction of arrival of distributed sources based on Bayesian compressed sensing. Background technique [0002] With the increasing demand for communication capabilities of wireless communication systems, the use of adaptive beamforming technology for wireless transceivers can effectively improve the efficiency of communication systems. Wherein, the direction of arrival (direction of arrival, DOA for short) of the wireless signal source is an indispensable parameter of the beamforming technology. Therefore, DOA estimation is a fundamental and very important research problem in modern wireless communication systems. In addition, the estimation accuracy of DOA parameters has a crucial impact on the performance of wireless communication systems. [0003] Due to the multipath propagation phenomenon of wireless mobile communication,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S3/12
CPCG01S3/12
Inventor 郑植杨学敏葛琰杨雨轩
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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