摘要
针对欠定条件下多跳频信号的网台分选问题,该文利用跳频信号在时频域上的稀疏性,提出了一种基于盲源分离的自适应信噪比网台分选算法。首先,用Gabor变换作为系统的时频变换建立欠定条件下跳频信号网台分选的模型;然后,采用了自适应信噪比的时频支撑点阈值设定方法寻找源信号的时频单源点,根据时频单源点的时频比矩阵估计出混合矩阵;最后,利用与信源相对功率偏差相结合的改进的子空间投影法进行网台分选。仿真实验验证了该算法在低信噪比条件下的有效性。
Aiming at the multi-FH signal sorting under undetermined condition, based on blind source separation, this paper put forward a SNR-adaptive sorting algorithm using the time-frequency sparsity of FH signal. Firstly, Gabor transformation is used as time-frequency transformation in system and sorting model is established under undetermined condition; then the adaptive-SNR threshold setting method is used to find the time-frequency single source. The mixed matrix is estimated according to the time- frequency matrix of single source; lastly, signal sorting is realized through improved subspace projection combined with relative power deviation of source. Simulation result shows the effectiveness of this method under low SNR condition.
出处
《信号处理》
CSCD
北大核心
2017年第8期1082-1089,共8页
Journal of Signal Processing
基金
国家自然科学基金(64601500)
关键词
跳频
欠定
自适应信噪比
时频单源点
网台分选
frequency-hopping （FH）
under-determined
adaptive-SNR
time-frequency single source
network sorting
