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A KNN equalization algorithm based on feature engineering for short-distance optical communication

A technology of feature engineering and equalization algorithm, which is applied in short-range systems, computing, computer components, etc., can solve the problem of inability to handle a large number of overlapping data, and achieve the effect of reducing computational complexity, easy implementation, and simple principle

Inactive Publication Date: 2019-05-10
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, the algorithms that have been proposed so far are all finally obtained nonlinear decision boundaries to equalize the data. These methods cannot deal with the situation of a large amount of data overlap caused by severe intersymbol interference, so it still needs to be improved.

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  • A KNN equalization algorithm based on feature engineering for short-distance optical communication
  • A KNN equalization algorithm based on feature engineering for short-distance optical communication
  • A KNN equalization algorithm based on feature engineering for short-distance optical communication

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Embodiment Construction

[0026] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0027] The present invention provides a KNN equalization algorithm based on feature engineering for short-distance optical communication, such as figure 1 shown. Based on feature engineering, the feature vectors of training sequences and effective data are obtained and preprocessed respectively. In the feature space, calculate the Euclidean distance between the eigenvector of each valid data and each data in the training set, and determine the category of valid data according to the category of the nea...

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Abstract

The invention discloses a feature engineering-based KNN equalization algorithm for short-distance optical communication, and the algorithm comprises the following steps: 1, inputting data which is sampled by a receiving end and contains a training sequence into a feature engineering module, constructing a feature vector, and carrying out the feature processing; Step 2, enabling the training sequence generator regenerate a training sequence as a label corresponding to the feature vector of the training sequence to form a training set; 3, using the same feature engineering to obtain feature vectors of the valid data, and taking the feature vectors of the training set and the valid data as input of a KNN classifier; and step 4, according to the categories of k training data closest to each valid data in the feature space, the KNN classification result is balanced output. According to the low-cost short-distance optical communication system, the problem that the performance of the system is reduced due to inter-code crosstalk, signal distortion and the like in the low-cost short-distance optical communication system is solved, and compared with traditional DFE and FFE equalizers, the equalization performance is improved, and the tap coefficient of the filter is reduced.

Description

technical field [0001] The invention relates to an equalization algorithm of k-nearest neighbor (FE-KNN) based on feature engineering for a short-distance optical communication system. Background technique [0002] In recent years, due to the popularity of high-bandwidth demanding applications, such as high-definition television, virtual reality, and video-based social networking systems, etc., transmission systems based on short-distance optical fibers, such as 5G X-haul, Data Center Interconnect (DCI) and Passive Optical Networks (PON) are now under pressure to increase rates. Therefore, the goal of next-generation short-distance optical fiber communication systems is to provide a single-wavelength transmission rate exceeding 25-Gb / s. But at the same time, because these systems are very sensitive to cost, it is not easy to use high-bandwidth optical devices to increase the baud rate either in terms of cost or technology. Therefore, the IEEE 802.3ca working group hopes to...

Claims

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Application Information

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IPC IPC(8): G06K9/62H04B10/114H04B10/40
Inventor 毕美华俞嘉生杨国伟胡志蕊周雪芳池灏胡淼李齐良
Owner HANGZHOU DIANZI UNIV
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