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Bayesian parameter estimation method based on noise enhancement

A technique of Bayesian estimation and parameter estimation, applied in the field of signal processing, to achieve the effect of reducing the minimum mean square error

Active Publication Date: 2019-04-19
CHONGQING UNIV
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However, the effects of noise on a system are not all negative

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  • Bayesian parameter estimation method based on noise enhancement
  • Bayesian parameter estimation method based on noise enhancement
  • Bayesian parameter estimation method based on noise enhancement

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[0039] The present invention will be further described below in conjunction with the examples, but it should not be understood that the scope of the subject of the present invention is limited to the following examples. Without departing from the above-mentioned technical ideas of the present invention, various replacements and changes made according to common technical knowledge and conventional means in this field shall be included in the protection scope of the present invention.

[0040] This embodiment discloses a Bayesian parameter estimation method based on noise enhancement, comprising the following steps:

[0041] 1) Build a noise-enhanced nonlinear system:

[0042] Described nonlinear system comprises three parts: nonlinear system input signal, nonlinear system and nonlinear system output signal; nonlinear system input signal x is closely related to parameter θ, and the value of θ is determined by its probability density function p θ (θ) is determined; add an indepe...

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Abstract

The invention discloses a Bayesian parameter estimation method based on noise enhancement, belonging to the Signal processing field. The method is used for improving the parameter estimation performance under the Bayesian criterion by utilizing the noise enhancement characteristic. The method comprises the steps that firstly, independent additive noise is added to a nonlinear system input signal,then a noise enhancement Bayesian parameter estimation model is established, Bayesian estimation is conducted on the input parameter through the nonlinear system output signal, finally, the optimal additive noise under the model is solved, and the optimal noise enhancement Bayesian estimation performance is obtained. According to the method, the Bayesian parameter estimation performance is improved by utilizing noise enhancement, and the corresponding mean square error when Bayesian estimation is carried out on the input parameters based on the output signals of the nonlinear system can be further reduced by adding appropriate noise to the input signals of the nonlinear system.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to noise enhancement and Bayesian parameter estimation. Background technique [0002] In traditional signal processing, noise is generally regarded as an unwanted signal that is not only of no benefit but a disturbance to the system. In fact, noise always exists with useful signals at the same time. Too much noise in the system usually reduces the capacity of the transmission channel, which not only reduces the accuracy of signal detection, but also deteriorates the performance of parameter estimation, which seriously affects the system work. To improve system performance, noise is usually removed or separated from useful signals as much as possible. However, the effects of noise on a system are not all negative. Under certain conditions, noise can positively enhance the signal through a nonlinear system, and this phenomenon is called noise enhancement. It has been shown that ad...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20Y02T90/00
Inventor 刘书君杨婷周喜川张奎李东
Owner CHONGQING UNIV
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