Novel method for direction-of-arrival estimation

A target orientation and orientation estimation technology, applied to direction finders using ultrasonic/sonic/infrasonic waves, etc., can solve the problems of complex calculation process and large amount of calculation, and achieve the effect of improving accuracy and saving the number of observations

Inactive Publication Date: 2016-11-23
常熟海量声学设备科技有限公司
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Problems solved by technology

[0006] The technical problem to be solved by the patent of the present invention is to design a new direction of arrival estimation method for the underwater acoustic target signal using a statistical theory to overcome the need to know the number of

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  • Novel method for direction-of-arrival estimation

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[0036] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0037] Such as figure 1 Shown is the schematic flow sheet of the inventive method;

[0038] Step 1-1, assuming that there are L long-range underwater acoustic targets, the receiving array is a uniform linear array (ULA) containing M array elements, and the output of array elements expressed in matrix form can be expressed as:

[0039] Y=A(θ)S+N (1)

[0040] in, T represents the transpose; A(θ) represents the array popular matrix of the signal; Indicates the signal source; Indicates that the additive noise of the array element is zero-mean Gaussian noise.

[0041] In order to ensure the accuracy of signal azimuth estimation, multiple sampling snapshots are required, and the number of snapshots is W,

[0042] Y w = ΦS w +N w w=1,...W(2)

[0043] Step 1-2, divide the entire underwater acoustic target space into K spatial positions, and...

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Abstract

The invention discloses a method for adaptive multi-task Bayesian compressive sensing for direction-of-arrival estimation (AMT-BCS-DOA for short). The method which relates to the technical field of hydroacoustic engineering or oceanographic engineering comprises three parts: part one, carrying out sparse representation of a hydroacoustic target signal; part two, executing an adaptive multi-task Bayesian compressive sensing algorithm; and part three, executing an energy threshold elimination method to improving the direction estimation precision and completing DOA estimation. The second part of putting forward the adaptive multi-task Bayesian compressive sensing algorithm serves as the core part; the first part is a preprocessing part of the core part; and the third part is the output content processing part of the core part. According to the (AMT-BCS-DOA method, on the basis of the multi-task learning idea, the influence on the direction estimation precision by the noise environment is reduced. Meanwhile, the observation number can be adjusted adaptively according to incoming wave signal number changing, so that the observation number is saved and the direction estimation precision is improved. The method is suitable for a hydroacoustic positioning environment changing rapidly.

Description

technical field [0001] This patent relates to the technical field of underwater acoustic engineering or ocean engineering, more precisely, a method for estimating the direction of arrival in array signal processing, and specifically relates to a method for estimating DOA of underwater acoustic targets based on adaptive multi-task Bayesian compressive sensing. Background technique [0002] Target azimuth estimation, also known as Direction Of Arrival (DOA) estimation, is an important research content in array signal processing, and is widely used in sonar, radar, and wireless communication systems. In the underwater acoustic positioning technology, it is an important technology to realize the positioning and tracking of underwater targets, and has very important theoretical research and practical application value. [0003] For the traditional direction of arrival estimation (Direction Of Arrival, DOA) method, a more classic algorithm is the Multiple Signal Classification (MU...

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Application Information

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IPC IPC(8): G01S3/80
CPCG01S3/80
Inventor 王彪
Owner 常熟海量声学设备科技有限公司
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