摘要
经验模式分解原理的基础上提出了一种识别二相编码信号码元序列的新算法。该方法首先使用经验模式分解提取反映信号相位跳变规律的逐步波动特征,在此基础上,对波动特征进行相位(π)归一化并提出相位段个数搜索算法估计二相编码信号的编码序列。理论分析和仿真表明,该方法能有效地估计二相编码信号的脉内编码序列,当信噪比不低于8 dB时,可获得91%以上的正确码元识别率。
An approach for identifying the phase-coded sequence of the binary-phase shift keying （BPSK） signal based on experimental model decomposition（EMD） is presented. Firstly, wave features of the signal are abstracted by using the EMD method to reflect signal phase changes. Then, wave features are normalized by the phase π and signal phase-coded sequences are estimated by using the phase search algorithm. Theoretical analyses and computer simulations show that the proposed approach can accurately estimate signal phase-coded sequences. And the correct recognition rate of signal phase-coded sequences is higher than 91%, when the signal-to-noise ratio （SNR） is no more than 8 dB.
出处
《数据采集与处理》
CSCD
北大核心
2009年第1期73-77,共5页
Journal of Data Acquisition and Processing
基金
国家自然科学基金(60572143
60702026)资助项目
