Research on Signal Source Estimation Based on Clustering Algorithm
Lihua Lei, Ju Zhou, Naijin Liu · 2019
There is great need to estimate the number of sources before the blind source separation technique implemented. Based on the clustering algorithm in machine learning, this study constructs the inter-frequency distance according to the magnitude of each frequency in the signal spectrum curve, uses clustering algorithms such as Kmeans, DBSCAN and Gaussian mixture to cluster the number of frequency bands of the observed signals, then analysis the comparative performance.