Multi-convex combination adaptive filtering method based on maximum correlation entropy

A technology of maximum correlation entropy and adaptive filtering, which is applied in the field of signal processing, can solve the problems of combined filter convergence speed and the ability to track the optimal value, and achieve the effect of fast convergence speed and good tracking ability

Inactive Publication Date: 2019-01-25
CHANGAN UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a multi-convex combined adaptive filtering method based on maximum cor

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  • Multi-convex combination adaptive filtering method based on maximum correlation entropy
  • Multi-convex combination adaptive filtering method based on maximum correlation entropy
  • Multi-convex combination adaptive filtering method based on maximum correlation entropy

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Embodiment Construction

[0032] Specific embodiments of the present invention are provided below, and it should be noted that the present invention is not limited to the following specific embodiments, and all equivalent transformations done on the basis of the technical solutions of the present application all fall within the scope of protection of the present invention.

[0033] This embodiment provides a multi-convex combination adaptive filtering method based on maximum correlation entropy, comprising the following steps:

[0034] Use the maximum correlation entropy criterion to update the weight vector, and use L adaptive filters with different step lengths under the criterion to jointly modulate the output results in the form of a convex combination, and use the L adaptive filters with different step lengths to step The filter with the largest length guarantees the convergence speed of the multi-convex combined adaptive filter at the beginning of filtering, and then the other L-1 filters adjust t...

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Abstract

The invention provides a multi-convex combination adaptive filtering method based on maximum correlation entropy, the weight vector is updated by the maximum correlation entropy criterion, The L asynchronous adaptive filters are combined to modulate the output results in convex combinations, and the one of the L adaptive filters with different step sizes which has the largest step size ensures theconvergence rate of the multi-convex adaptive filters at the beginning of the filter, and then The other L-1 filters adjust the weight ratio according to the mixing coefficient at different time periods, thereby controlling the convergence speed and the steady state amount.. The invention not only improves the convergence speed, but also maintains a low misalignment amount, can more flexibly adjust the proportion of multiple step sizes, and improves the re-convergence ability and the tracking ability.

Description

technical field [0001] The invention belongs to the field of signal processing, and in particular relates to a multi-convex combination adaptive filtering method based on maximum correlation entropy. Background technique [0002] In recent years, adaptive filter has rapidly developed into an optimal filtering method. Adaptive filter is a filtering method developed on the basis of linear filtering such as Wiener filtering and Kalman filtering. Because of its stronger adaptability and better filtering performance, it is used in engineering practice, especially in information It has been widely used in processing technology. [0003] The research object of adaptive filtering is a system or information process with uncertainty. The "uncertainty" here means that the mathematical model of the researched information processing process and its environment is not completely determined. There are some unknowns and random factors involved. Any actual information process has differen...

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Application Information

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IPC IPC(8): H03H21/00
CPCH03H21/0043
Inventor 梁中华吴文静
Owner CHANGAN UNIV
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