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A Signal Detection Method with Noise Enhancement and Minimized Error Probability

An error probability and minimization technology, applied in the field of signal processing, can solve the problems of detection performance and estimation accuracy degradation, small channel capacity, etc.

Inactive Publication Date: 2020-11-03
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The more noise in the system, the smaller the channel capacity will be, which will reduce the detection performance and estimation accuracy.

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  • A Signal Detection Method with Noise Enhancement and Minimized Error Probability
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  • A Signal Detection Method with Noise Enhancement and Minimized Error Probability

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Embodiment Construction

[0028] 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.

[0029] This embodiment discloses a signal detection method for noise enhancement to minimize error probability, including the following steps:

[0030] 1) Establish a noise-enhanced and minimized error probability detection model

[0031] The input signal x of the nonlinear system, in the null hypothesis H 0 and the alternative hypothesis H 1 The probability density functions below are p 0 (x) and p 1 (x), and suppose H 0 and H 1 The prior probabilities of are p(H 0 ) and p(H 1 ).

[003...

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Abstract

The invention discloses a noise enhancement minimum error probability signal detection method, belongs to the signal processing field and aims to improve binary signal hypothesis detection performanceunder the maximum posterior probability criterion through adding the optimal additive noise to a system. The method comprises steps that a signal is inputted to a non-linear system, and the independent additive noise is further added; through the non-linear system, a signal is outputted by the non-linear system after noise adding; secondly, under the maximum posterior probability criterion, the signal outputted by the non-linear system after noise adding is utilized to make decision, and a noise enhancement minimum error probability detection model is established; the optimal additive noise corresponding to the model is further solved, and the detection result based on the minimum error probability is further acquired. The method is advantaged in that noise enhancement characteristics areutilized, under the maximum posterior probability criterion, the purpose of reducing the system output decision error probability is realized.

Description

technical field [0001] The invention belongs to the field of signal processing, and in particular relates to the problem of binary signal hypothesis testing of noise enhancement and error probability minimization. Background technique [0002] Noise is everywhere, and understanding and mastering the distribution and performance of noise is a very important issue. In classical signal processing, noise is viewed as an unwanted signal or disturbance to a system. The more noise in the system, the smaller the channel capacity will be, and the detection performance and estimation accuracy will be reduced. However, the impact of noise on the system is not all negative. Under certain conditions, noise can positively enhance the signal and system through the nonlinear system, which is called the noise enhancement phenomenon. With the in-depth exploration and application research on noise enhancement in recent years, the important role played by noise enhancement in signal detection...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/391H04B17/309H04B17/345
CPCH04B17/309H04B17/345H04B17/3912
Inventor 刘书君杨婷唐明春周喜川李勇明
Owner CHONGQING UNIV