首页|基于改进带宽自适应ACMD的信号分离方法

基于改进带宽自适应ACMD的信号分离方法

扫码查看
针对复杂电磁环境下出现多个辐射源信号混叠造成的多分量信号分离问题,提出了基于改进带宽自适应线性调频模态分解(ACMD)的信号分离方法.该方法利用频谱集中性指标对各信号分量的瞬时频率进行估计,将估计的瞬时频率值作为改进算法的预设频率;利用递归框架和改进带宽自适应更新方法对各信号分量进行循环迭代;直到剩余信号能量小于阈值,完成所有信号分离.仿真实验表明,该方法能够在复杂电磁环境下分离出多分量信号,相比较已有算法对紧邻信号具有更好的分离性能和抗噪声性能.
Signal Separation Method Based on Improved Bandwidth ACMD
Aiming at the problem of separating multi-component signals caused by the overlap of multiple radia-tion sources in complex electromagnetic environment,a signal separation method based on improved bandwidth adaptive chirp mode decomposition(ACMD)is proposed.The spectral concentration index is used to estimate the instantaneous frequency of each signal component,and the estimated instantaneous frequency is used as the preset frequency for the improved algorithm.The recursive framework and the improved bandwidth adaptive update method are used to iterate each signal component.Until the remaining signal energy is less than the threshold,all signal separation is completed.Simulation experiments show that this method can separate multi-component signals in complex electromagnetic environ-ment,and has better separation performance and noise resistance than existing algorithms,especially for adjacent sig-nals.

signal separationcomplex electromagnetic environmentbandwidth ACMDspectral concentration index

方国俊、王国丽、邓志安

展开 >

哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨 150001

哈尔滨工程大学先进船舶通信与信息技术工业和信息化部重点实验室,黑龙江哈尔滨 150001

信号分离 复杂电磁环境 带宽自适应ACMD 频谱集中性指标

国家自然科学基金中央高校基本科研业务费专项

619711553072022TS0802

2024

雷达科学与技术
中国电子科技集团公司第38研究所 中国电子学会无线电定位技术分会

雷达科学与技术

CSTPCD北大核心
影响因子:0.665
ISSN:1672-2337
年,卷(期):2024.22(3)
  • 16