- Category:
- Other systems
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- File Size:
- 56.49mb
- Update:
- 2017-10-25
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- Uploaded by:
- 张迪
Description: The SOM-SVM model is based on clustering characteristics of SOM, the input sample will contain the same features together, and the input samples from far down the clustering center. After 20% samples were compressed, the representative samples were sent to SVM for training. In this paper, the sample set is collected through the experimental platform, and the spectrum sensing method based on support vector machine is proved to be able to achieve good perception performance under the actual data testing conditions. The simulation results show that the detection rate of SOM-SVM model is close to 100% at low SNR, and the detection error rate is also improved.
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