Abstract:

Based on the characteristics of non-circular signals of the maximum non-circular rate, a real-value tensor estimation signal parameters via rotational invariance techniques (ESPRIT) algorithm is put forward. Firstly, the array receiving data matrix is extended to tensor space by studying the relationship between tensor and matrix. Then, the array receiving data tensor is turned into cosine and sine data tensor by using the Euler formula, according to the array dimensions to concatenate cosine and sine data tensor in each dimension, respectively, and obtain the signal subspace through a higher-order singular value decomposition of real-value concatenation tensor data. Finally, phase difference is estimated jointly in each dimension to realize direction of arrival (DOA) estimation by constructing the selection matrix and eigen decomposition. The experimental simulation results show that this algorithm has a better resolution and angle measurement accuracy.