摘要
该文提出了一种有效的频率键控-二相编码(FSK/BPSK)复合调制信号的识别和参数估计算法。首先给出FSK/BPSK复合调制信号的模型,并分析了其相位特征。然后采用二叉树方法,基于相位展开和瞬时频率特征实现FSK/BPSK复合调制信号,BPSK信号和FSK信号的识别,并详细讨论了基于Neyman-Pearson准则的识别门限选定原则。最后采用Haar小波法和正弦波频率估计算法实现FSK/BPSK复合调制信号的参数估计。仿真结果表明,该算法在较低信噪比下仍具有较好的识别性能和参数估计精度。
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.
出处
《电子与信息学报》
EI
CSCD
北大核心
2013年第12期2868-2873,共6页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61201208)
江苏高校优势学科建设工程项目资助课题
关键词
信号识别
参数估计
频率键控-二相编码复合调制
瞬时频率
Signal recognition
Parameter estimation
Frequency Shift Keying and Binary Phase Shift Keying （FSK/BPSK） hybrid modulation
Instantaneous frequency
