提出了基于时频值实部、虚部聚类(TFRI-DBSCAN)混合矩阵估计算

Proposed based on the frequency value when the real part, the imaginary part of the cluster (TFRI-DBSCAN) mixing matrix estimation algorithm, when the observation signal extracting multiple frequency array element matrix elements the real part, imaginary part configuration data set, in accordance with the radius of the art and Density removing the low-energy data set value data, using cluster DBSCAN algorithm, and complete mixing matrix DOA estimation;

Based on the time frequency value real, virtual cluster (TFRI-DBSCAN) hybrid matrix estimation algorithm, the low energy data in the data set is removed according to the domain radius and density value, and the DBSCAN algorithm is used to calculate the low energy data in the data set by extracting the real and imaginary components of the multi-array observation signal. Complete the hybrid matrix and DOA estimation;

A hybrid matrix estimation algorithm based on tfri-dbscan is proposed. By extracting the real part and virtual part of each element of the time-frequency matrix of multi array observation signal, the data set is constructed respectively. The low-energy data in the data set is removed according to the field radius and density value. The hybrid matrix and DOA estimation are completed by clustering with DBSCAN algorithm;<br>