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A Robust Sparse Multi-task Adaptive System and Iterative Method

An adaptive system and adaptive iterative technology, applied in adaptive control, transmission systems, digital transmission systems, etc., can solve the problems of slow convergence of DLMS and DAPSA, and achieve good convergence performance, high stability, and reduced impact. Effect

Active Publication Date: 2020-11-03
SUZHOU UNIV
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Problems solved by technology

When the unknown system sparsity is very high, the traditional DLMS and DAPSA converge very slowly

Method used

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  • A Robust Sparse Multi-task Adaptive System and Iterative Method
  • A Robust Sparse Multi-task Adaptive System and Iterative Method
  • A Robust Sparse Multi-task Adaptive System and Iterative Method

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0042] Such as figure 1 As shown, a robust sparse multi-task adaptive system, abbreviated as SMD-APSA, adopts multi-task topology, anti-impulse noise interference, l 0 Norm and cluster similarity constraints and parameter vector estimation are used to update the weight coefficient vectors of each node of the adaptive system, thereby improving the performance of the adaptive system.

[0043] Contains the following steps:...

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Abstract

The invention discloses a robust sparse multitask self-adaptation system. The system comprises a node neighbor domain selecting module, a pulse noise interference resisting module, an I0 norm and cluster similarity constraint module and a parameter vector estimation module, wherein the node neighbor domain selecting module is used for selecting a node neighbor domain subset which needs to be usedduring the parameter vector updating of each node in the self-adaptation system; the pulse noise interference resisting module is used for performing symbolic operation on the data of the nodes of theself-adaptation system; the I0 norm and cluster similarity constraint module is used for increasing the convergence rate of the self-adaptation system during unknown parameter vector estimation; theparameter vector estimation module is used for updating the estimation values of parameter vectors. The system has the advantages that the weight coefficient vector of each node of the self-adaptationsystem is updated by using the multitask topological structure, pulse noise interference resisting, I0 norm and cluster similarity constraint and parameter vector estimation, and the convergence rateduring sparse parameter vector estimation can be increased while low steady state maladjustment can be kept during multitask processing.

Description

technical field [0001] The invention relates to the technical field of adaptive system design, in particular to a robust sparse multi-task adaptive system and an iterative method. Background technique [0002] Diffusion Least Mean Square (DLMS) [Cattivelli F S, Sayed A H. Diffusion LMS strategies for distributed estimation. IEEE Transactions on Signal Processing, 2010,58(3):1035-1048] and Diffusion Affine Projection (DAPA) [Li Lei-lei, Lopes C G. Distributed estimation over an adaptive incremental network based on the affineprojection algorithm. IEEE Transactions on Signal Processing, 2010, 58(1): 151-164] Adaptive systems are widely used in wireless sensor networks and other fields. [0003] Steady-state misalignment and convergence speed are two main performance indicators for evaluating the performance of adaptive systems. Steady-state misadjustment determines the accuracy of approaching the unknown system, and the convergence rate determines the time required for the ad...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/02G06F17/16H04L12/24
CPCG05B13/024G06F17/16G06F30/20H04L41/12
Inventor 倪锦根朱亚楠
Owner SUZHOU UNIV
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