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| The Recognition and Parameter Estimation of Hybrid Modulation Signal Combined with FSK and BPSK |
| Song Jun①② Liu Yu① Wang Xu-dong① |
①(College of Electronic and Engineering, Nanjing University of Aeronaut & Astronaut, Nanjing 210016, China)
②(College of Information Science & Technology, Nanjing Forestry University, Nanjing 210037, China) |
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Abstract A recognition and parameter estimation algorithm for hybrid modulation signal combined with Frequency Shift Keying and Binary Phase Shift Keying (FSK/BPSK) is proposed. First, the models of the considered signals and their unwrapped phase are presented. Then, a recognition algorithm is presented for signals including FSK/BPSK hybrid modulation signal, BPSK signal and FSK signal based on instantaneous frequency by utilizing binary tree, and the thresholds of recognition based on Neyman-Pearson (N-P) criterion are discussed and analyzed in detail. Finally, the parameter estimation of FSK/BPSK signal is implemented. Simulation results indicate that the proposed algorithm possesses fine recognition performance and estimation accuracy in lower SNR levels.
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Received: 19 April 2013
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Corresponding Authors:
Song Jun
E-mail: songjun@nuaa.edu.cn
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2013, Vol. 35 
