An signal noise ratio（ SNR） adaptive sorting algorithm using the time-frequency（ TF）sparsity of frequency-hopping（ FH） signal is proposed in this paper. Firstly,the Gabor transformation is used as TF transformat...An signal noise ratio（ SNR） adaptive sorting algorithm using the time-frequency（ TF）sparsity of frequency-hopping（ FH） signal is proposed in this paper. Firstly,the Gabor transformation is used as TF transformation in the system and a sorting model is established under undetermined condition; then the SNR adaptive pivot threshold setting method is used to find the TF single source. The mixed matrix is estimated according to the TF matrix of single source. Lastly,signal sorting is realized through improved subspace projection combined with relative power deviation of source. Theoretical analysis and simulation results showthat this algorithm has good effectiveness and performance.展开更多
为在欠定条件下估计跳频(frequency hopping,FH)信号二维波达方向(two dimensional direction of arrival,2D-DOA)和极化参数,从而有效辅助FH网台分选和信号识别、跟踪等,提出基于空间极化时频分析的联合估计算法.在建立FH信号极化敏感...为在欠定条件下估计跳频(frequency hopping,FH)信号二维波达方向(two dimensional direction of arrival,2D-DOA)和极化参数,从而有效辅助FH网台分选和信号识别、跟踪等,提出基于空间极化时频分析的联合估计算法.在建立FH信号极化敏感阵列快拍数据模型基础上,推导空间极化时频分布(spatial polarimetric time frequency distributions,SPTFD)的线性时频扩展形式SPSTFT,同时给出一种组合时频分布方法定位各跳(hop)信号在时频面上的自项区域,据此构造各hop的SPTFD和SPSTFT矩阵.利用SPSTFT/SPTFD矩阵中蕴含的信源极化-空域特征信息采取两种不同方法估计2D-DOA和极化参数.新算法无需多维参数寻优和配对,计算量小.仿真结果表明,本算法能在欠定条件下有效估计FH信号2D-DOA和极化参数,SPTFD矩阵法估计精度高,并能处理发生频率碰撞的hop.展开更多
现有多跳频信号参数估计方法稀疏线性回归(Sparse Linear Regression,SLR)存在计算量大、内存消耗大的缺点。事实上,频率跳变只在少数几个数据点上发生,大部分数据不包含跳变信息。基于此,提出一种基于正交匹配追踪(Orthogonal Matching...现有多跳频信号参数估计方法稀疏线性回归(Sparse Linear Regression,SLR)存在计算量大、内存消耗大的缺点。事实上,频率跳变只在少数几个数据点上发生,大部分数据不包含跳变信息。基于此,提出一种基于正交匹配追踪(Orthogonal Matching Pursuit,OMP)和SLR相结合的跳频信号参数估计方法。该方法将接收到的样本数据均匀分段,对每段数据用OMP算法预处理,检测出发生频率跳变的数据段以及估计出没有发生跳变的数据段的频率;对这些发生跳变的数据段分别用SLR算法估计得到各段的跳时和频率;拼接可以得到整个样本的跳时、跳频图案等。仿真结果表明,该方法在在保持SLR精确估计性能的同时,能有效减少计算量。展开更多
基金Supported by the National Natural Science Foundation of China(64601500)
文摘An signal noise ratio（ SNR） adaptive sorting algorithm using the time-frequency（ TF）sparsity of frequency-hopping（ FH） signal is proposed in this paper. Firstly,the Gabor transformation is used as TF transformation in the system and a sorting model is established under undetermined condition; then the SNR adaptive pivot threshold setting method is used to find the TF single source. The mixed matrix is estimated according to the TF matrix of single source. Lastly,signal sorting is realized through improved subspace projection combined with relative power deviation of source. Theoretical analysis and simulation results showthat this algorithm has good effectiveness and performance.
文摘为在欠定条件下估计跳频(frequency hopping,FH)信号二维波达方向(two dimensional direction of arrival,2D-DOA)和极化参数,从而有效辅助FH网台分选和信号识别、跟踪等,提出基于空间极化时频分析的联合估计算法.在建立FH信号极化敏感阵列快拍数据模型基础上,推导空间极化时频分布(spatial polarimetric time frequency distributions,SPTFD)的线性时频扩展形式SPSTFT,同时给出一种组合时频分布方法定位各跳(hop)信号在时频面上的自项区域,据此构造各hop的SPTFD和SPSTFT矩阵.利用SPSTFT/SPTFD矩阵中蕴含的信源极化-空域特征信息采取两种不同方法估计2D-DOA和极化参数.新算法无需多维参数寻优和配对,计算量小.仿真结果表明,本算法能在欠定条件下有效估计FH信号2D-DOA和极化参数,SPTFD矩阵法估计精度高,并能处理发生频率碰撞的hop.
文摘现有多跳频信号参数估计方法稀疏线性回归(Sparse Linear Regression,SLR)存在计算量大、内存消耗大的缺点。事实上,频率跳变只在少数几个数据点上发生,大部分数据不包含跳变信息。基于此,提出一种基于正交匹配追踪(Orthogonal Matching Pursuit,OMP)和SLR相结合的跳频信号参数估计方法。该方法将接收到的样本数据均匀分段,对每段数据用OMP算法预处理,检测出发生频率跳变的数据段以及估计出没有发生跳变的数据段的频率;对这些发生跳变的数据段分别用SLR算法估计得到各段的跳时和频率;拼接可以得到整个样本的跳时、跳频图案等。仿真结果表明,该方法在在保持SLR精确估计性能的同时,能有效减少计算量。
