The DOA of wideband signals estimation by using ESPRIT based on K-means

The ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) is proposed for estimating the DOA (Direction-Of-Arrival) of narrowband signal, which uses the rotation invariance of the received data´s signal subspace to estimate the DOA. But the ESPRIT algorithm can´t be directly used for the wideband signal. The ESPRIT algorithm based on K-means introduces K-means algorithm to the wideband signal processing, which makes the ESPRIT algorithm can be directly used for estimating the wideband signal DOA. This method takes advantage of sub-band decomposition technique in wideband signal, then estimates DOA in each band by using the ESPRIT method, and finally uses the K-means method to get the DOA of broadband signal by clustering the results of each band. The ESPRIT algorithm based on K-means not only has a small measure error and a small amount of computing but also could estimate the DOA without knowing the signal´s prior knowledge. Theoretical analysis and simulation show that the procedural validity of the algorithm.