| Yuan Haiying (袁海英),Sun Xun,Li Haitao.[J].高技术通讯(英文),2013,19(2):132~136 |
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| The modulation recognition based on decision-making mechanism and neural network integrated classifier |
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| DOI： |
| 中文关键词: |
| 英文关键词: modulation recognition, decision-making mechanism, neural network integrated classifier (NNIC), feature extraction |
| 基金项目: |
| Author Name | Affiliation | | Yuan Haiying (袁海英) | | | Sun Xun | | | Li Haitao | |
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| 中文摘要: |
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| 英文摘要: |
| A neural network integrated classifier (NNIC) designed with a new modulation recognition algorithm based on the decision-making tree is proposed in this paper. Firstly, instantaneous parameters are extracted in the time domain by the coordinated rotation digital computer (CORDIC) algorithm based on the extended convergence domain and feature parameters of frequency spectrum and power spectrum are extracted by the time-frequency analysis method. All pattern identification parameters are calculated under the I/Q orthogonal two-channel structure, and constructed into the feature vector set. Next, the classifier is designed according to the modulation pattern and recognition performance of the feature parameter set, the optimum threshold is selected for each feature parameter based on the decision-making mechanism in a single classifier, multi-source information fusion and modulation recognition are realized based on feature parameter judge process in the NNIC. Simulation results show NNIC is competent for all modulation recognitions, 8 kinds of digital modulated signals are effectively identified, which shows the recognition rate and anti-interference capability at low SNR are improved greatly, the overall recognition rate can reach 100% when SNR is 12dB. |
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