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 is12dB.
A neural network integrated classifier （NNIC） designed with a new modulation recognition al- gorithm based on the decision-making tree is proposed in this paper. Firstly, instantaneous parame- ters are extracted in the time domain by the coordinated rotation digital computer （CORDIC） algo- rithm 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 pa- rameters 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 recogni- tion performance of the feature parameter set, the optimum threshold is selected for each feature pa- rameter based on the decision-making mechanism in a single classifier, multi-source information fu- sion 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 modu- lated signals are effectively identified, which shows the recognition rate and anti-interference capa- bility at low SNR are improved greatly, the overall recognition rate can reach 100% when SNR is 12dB.
基金
Supported by the National Natural Science Foundation of China(No.61001049)
Key Laboratory of Computer Architecture Opening Topic Fund Subsidization(CARCH201103)
Beijing Natural Science Foundation(No.Z2002012201101)
