摘要
针对信号来波方向突变、源信号个数及信号样式发生变化,对辐射源个数估计及盲源分离(blind source separation,BSS)结果的影响进行分析。源信号个数的估计采用基于信息论准则的估计方法,采用自适应盲分离算法进行信号盲分离。实验结果表明:混合矩阵发生突变时,使用接收数据进行信源数估计,无法正确估计信源数;当混合矩阵未发生突变,而信号样式发生突变时,源数估计算法能准确估计来波方向数;若混合矩阵不变,在某一来波方向信号样式的改变,对信号的盲分离不会产生不利影响,可将该来波方向不同的信号样式分开;若混合矩阵不变,阵列接收信号中信号个数的改变,对信号分离结果没有明显的不利影响。分析结果表明:该研究对评估信源数估计算法和盲源分离算法在实际环境中的应用效果具有一定参考价值。
The influence of the sudden change of the direction of arrival(DOA),the number of source signals and the signal pattern on the estimation of the number of emitters and the results of blind source separation(BSS)are analyzed.The number of source signals is estimated based on the information theory criterion,and the adaptive blind separation algorithm is used to separate the signals.The experimental results show that when the mixing matrix mutates,the number of sources cannot be estimated correctly by using the received data,and when the mixing matrix does not mutate,but the signal pattern mutates,the number of sources estimation algorithm can estimate the number of DOA accurately;If the mixing matrix does not change,the change of the signal mode in a certain direction of arrival will not have a negative impact on the blind separation of the signal,and the signal modes in different directions of arrival can be separated;if the mixing matrix does not change,the change of the number of signals in the array receiving signal will not have a significant negative impact on the signal separation results.The analysis results show that the study has a certain reference value for evaluating the application effect of the source number estimation algorithm and the blind source separation algorithm in the actual environment.
作者
王川川
汪亚
王华兵
Wang Chuanchuan;Wang Ya;Wang Huabing(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,Luoyang 471003,China)
出处
《兵工自动化》
2022年第3期1-9,共9页
Ordnance Industry Automation
基金
国家973项目(613319)。
关键词
时变环境
信源数估计
盲源分离
信息论准则
自适应盲分离
time-varying environment
source number estimation
blind source separation
information theoretic criterion
adaptive blind separation
