摘要
为提高存在定时误差条件下基于累积量特性的混合信号识别算法性能,给出了一种修正的混合信号识别算法。通过将混合信号模型代入累积量表达式,定量分析过采样率、定时偏差、基带成型脉冲函数对识别性能的影响,优化影响算法性能的关键参数实现途径,从而给出具有更高稳定性、更好识别率的修正算法。计算机仿真结果验证了修正算法的有效性。
In order to improve the performance of cumulant-based identification algorithm with timing error, a modified algorithm is presented. The algorithm has better stability and higher recognition probability. Firstly, the model of mixed signals is used in cumulant expression. Then, effects of unknown parameters, such as over sampling ratio, timing error and based- band pulse-shaping function are all analyzed quantitatively. Further, an improving method for reducing the effects of factors that affect performance of recognition obviously is given. The experimental results show the validity of the modified algorithm.
出处
《数据采集与处理》
CSCD
北大核心
2013年第6期719-724,共6页
Journal of Data Acquisition and Processing
关键词
同频干扰
调制识别
累积量
co-channel interference
modulation recognition
cumulant
