欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对单通道双MFSK信号的调制识别问题，提出了一种基于经验模态分解（EMD）和分形盒维数的调制识别算法。该算法利用EMD将混有高斯噪声的双MFSK混合信号分解成多个分量，提取每个分量的分形盒维数作为特征参数，使用BP神经网络作为分类器对其进行识别。仿真结果表明，该算法对频谱不混叠的双MFSK信号有较好的识别效果。
英文摘要：
According to the problem of modulation recognition of two MFSK signals in single-channel, a modulation recognition algorithm based on empirical mode decomposition（EMD） and fractal box dimension is proposed. Firstly, the algorithm uses EMD to decompose the two MFSK signals mixed with Gaussian noise into multiple components, then extracts fractal box dimension of each component as characteristic parameters, and BP neural network is employed as classifier to recognize them. The results of simulation show that the algorithm has better performance on two MFSK signals with the non-overlapping spectrum.
同期刊论文项目
同项目期刊论文
Improved sparse representation using adaptive spatial support for effective target detection in hype
Use of local fuzzy variance to extract the scattered regions of spatial stray light influence in hyp
期刊信息
位置：