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Block near-end gradient double sparse dictionary learning beam forming method and system

A sparse dictionary, near-end gradient technology, applied in radio wave measurement systems, constraint-based CAD, instruments, etc., can solve the problems of reconstruction failure, accuracy decline, and difficulty in knowing prior information clearly, and achieves improved applicability, high accuracy, etc. Sparsity, the effect of improving the performance of sparse representation

Pending Publication Date: 2021-11-02
HARBIN ENG UNIV
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Problems solved by technology

However, it is necessary to fully understand the characteristics of the target, that is, under which sparse transformation conditions the signal has the strongest sparsity, and in most cases, the relevant prior information is difficult to know clearly, for example, in the field of sonar underwater detection, the target source is non- Cooperative, at this time, the use of CS reconstruction may cause accuracy degradation or even reconstruction failure

Method used

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  • Block near-end gradient double sparse dictionary learning beam forming method and system
  • Block near-end gradient double sparse dictionary learning beam forming method and system
  • Block near-end gradient double sparse dictionary learning beam forming method and system

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Embodiment 1

[0065] This embodiment discloses a double-sparse dictionary learning beamforming method for block proximal gradients. First, a multi-constraint beamforming optimization model combining analytic dictionary analysis and learning dictionary synthesis is proposed. The prior sparse transformation and the adaptive sparse transformation expressed by learning the dictionary, the principle is that under the known prior sparse transformation, the adaptive sparse transformation is also sparse, which is conducive to obtaining the best adaptive sparse representation; another On the one hand, the analytical expression of the analytical dictionary is easier to obtain, especially for non-full-rank transformations or implicit function transformations. As long as the learning dictionary meets the column normalization conditions to avoid ambiguity with the sparse representation coefficient matrix, the comprehensive expression is beneficial to the signal source. When estimating, the quadratic opti...

Embodiment 2

[0155] The purpose of this embodiment is to provide a computing device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the steps of the above method when executing the program.

Embodiment 3

[0157] The purpose of this embodiment is to provide a computer-readable storage medium.

[0158] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the above-mentioned method are executed.

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Abstract

The invention provides a block near-end gradient double sparse dictionary learning beam forming method and system. The method comprises the following steps: establishing a multi-constraint optimization mathematical model based on double sparse dictionary learning; introducing a Lagrange multiplier, obtaining an unconstrained cost function representation equivalent to the model, and determining each parameter value; converting the minimization solving of an unconstrained cost function into respective solving of three sub-problems of sparse coding, dictionary learning and signal source estimation, stibulating iteration initial values of all variables, and forming a wave beam based on an estimated signal source. The model simultaneously comprises a sparse representation coefficient and an l1, 1 norm item of a dictionary matrix, and the sparsity of the dictionary matrix Dj is effectively improved in a sparse domain of a known analysis dictionary; and on the other hand, the l1, 1 norm has higher sparseness compared with the traditional l1, 2 norm, and the sparse representation performance is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of sonar detection, and in particular relates to a method and a system for learning a beamforming method and a system of a double-sparse dictionary with block near-end gradients. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The beamforming method is widely used in the fields of communication, detection and imaging, involving the transmission and reception of electromagnetic, acoustic, ultrasonic and other detection energy. Underwater sonar combined with beamforming technology can improve the utilization efficiency of channel echo data and improve angular resolution in angle of arrival estimation. For equipment with a fixed working wavelength, the angular resolution of beamforming is inversely proportional to the array size. Under the premise of ensuring the distance be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/539G06F30/27
CPCG01S7/539G06F30/27G06F2111/04G06F2119/10G06F2111/08
Inventor 郭企嘉周天李海森
Owner HARBIN ENG UNIV
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