摘要
提出了一种利用信号空间时频特征的高效波达方向(DOA)估计方法。通过计算参考阵元输出与其它阵元输出之间的互时频分布,构造出新的时频域数据矩阵模型,然后在时频面上不同的能量聚集区域内选择时频点,构造空间时频分布矩阵,然后对进行矩阵奇异值分解来实现波达方向估计。与直接构造空间时频分布矩阵的方法相比,该方法构造矩阵的计算量大大减小,并且能处理相干信号。仿真结果验证了算法的有效性。
A novel Direction-Of-Arrival（DOA） estimation method in exploitation of the signal spatial time-frequency signatures is proposed.The data matrix is constructed in time-frequency domain by computing the cross-time-frequency-distributions between the reference output and other sensor output.Accordingly,the spatial time-frequency distribution（STFD） matrixes are formed by choosing the time-frequency points residing on the different regions of high power concentration.Then singular-value decomposition is applied on each STFD matrix to obtain the DOA estimations.As compared with the direct STFD-constructing methods,the proposed one could deal with coherent signals and is of lower computation complexity.The simulation results indicate the efficiency of the proposed method.
出处
《通信技术》
2010年第12期70-72,共3页
Communications Technology
关键词
阵列处理
波达方向
空间时频分布
矩阵分解
array processing
direction-of-arrival（DOA）
spatial time-frequency distribution
matrix decomposition
