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A Parameter-Free Grid-based Clustering Method for Radio Signal Data

A technology of radio signals and signal data, applied in the field of computer information processing, can solve problems such as parameter dependence, achieve the effect of reducing analysis burden and improving accuracy

Active Publication Date: 2022-05-20
CENT SOUTH UNIV
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Problems solved by technology

[0005] The technical problem solved by the present invention is to provide a method for clustering radio signal data based on a parameterless grid to automatically calculate parameters based on information such as the collection time of radio signal data and the number of signal data points. k and Minpts to solve the dependence of clustering results on parameters

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  • A Parameter-Free Grid-based Clustering Method for Radio Signal Data
  • A Parameter-Free Grid-based Clustering Method for Radio Signal Data
  • A Parameter-Free Grid-based Clustering Method for Radio Signal Data

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Embodiment Construction

[0053] The present invention comprises the following steps:

[0054] Step 1): According to the data number m in the radio signal data set and the collection time of the batch of data, calculate the grid division value k, wherein the collection time can be calculated by the collection time of the signal data;

[0055] Step 2): Divide the center frequency dimension of the signal data into k equal-length but disjoint grid units according to the grid division value k obtained in step 1). Assuming that the distribution range of the frequency attribute of the signal data center is [startfreq, endfreq], the length δ of a single grid unit can be obtained according to the grid division value k, and its calculation formula is δ=(endfreq-startfreq) / k. Further, the frequency range of all grid units can be obtained, here we use i to represent any grid unit, then the calculation formula of its center frequency range is freq(i)=(startfreq+(i-1)*δ, startfreq+ i*δ], where 1≤i≤n, n is the tota...

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Abstract

The present invention provides a radio signal data clustering method based on a parameter-free grid. According to the number of data in the radio signal data set and the collection time of the batch of data, the grid division value k is calculated, and the central frequency dimension of the signal data is Divide into k equal-length but disjoint grid units, divide it into corresponding grid units according to the center frequency value of each signal data, and count the density of each grid unit, calculate the density threshold, and based on The density threshold divides the grid units, detects adjacent high-density grid units, and connects them to form clusters; extracts cluster boundary points from boundary grid units, and puts them into the clusters they belong to according to the boundary processing method . Based on the data characteristics of radio signals, the method automatically calculates two parameters, the grid division value and the density threshold, and improves the accuracy of the algorithm for radio signal data clustering on the basis of the efficiency of the grid clustering algorithm, and reduces the Analytical burden on analysts.

Description

technical field [0001] The invention belongs to the technical field of computer information processing, and relates to a radio signal data clustering method based on a parameterless grid. Background technique [0002] A problem often faced in the field of radio signal analysis is how to sort out the signals belonging to the same signal source for subsequent analysis. As the signal environment becomes more and more complex, traditional signal sorting methods can no longer meet the requirements of accuracy and efficiency. Therefore, we need to process the signal with the help of some smart machine learning algorithms. [0003] The basic idea of ​​the grid clustering algorithm is to divide the data dimension into multiple adjacent intervals, create a set of grid cells, and then cluster the data based on the grid structure. The advantage of the grid clustering algorithm is that its processing speed is very fast, and its processing time is independent of the number of data obje...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/2321Y02D30/70
Inventor 赵颖张蓉罗晓波周芳芳
Owner CENT SOUTH UNIV
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