A Spectrum Spatial Channel Clustering Method
A technology of spatial channel and clustering method, which is applied in the field of channel clustering in spectrum data, can solve the problems that non-clustering channel points cannot be clustered, and the clustering effect is unreasonable and reliable, and achieve a reasonable and reliable calculation method Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0039] This embodiment provides an improved spectral space channel clustering method based on density and frequent pattern mining, and its specific implementation steps are as follows:
[0040] S1. Data preprocessing: the spectrum data is collected by the spectrum receiver, and then the spectrum data of all channels are processed into a sequence of 0, 1, 0 means the channel is idle, and 1 means the channel is occupied.
[0041] S2. Calculate the similarity between channels: calculate the similarity between information by using an improved channel similarity calculation formula that introduces a time factor.
[0042] S3. Calculating the distance between the channels: the similarity value between the channels is obtained through S2, and the distance between the channels is calculated by using the information entropy formula.
[0043] S4. Clustering the channels: using the results obtained in S3, the channels are first clustered through an improved DBSCAN-based channel clustering...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


