Estimação Cega de Assinaturas Espaciais para Arranjos em Formato L Baseada em Modelagem Tensorial de Correlações Cruzadas

Spatial signature or direction of arrival (DoA) estimation is a key problem in array signal processing with applications in radar, sonar, mobile communications and others. In this paper, we propose a tensor-based method to solve the blind spatial signature estimation problem. By assuming that a L-shaped receiver array is divided into smaller subarrays, the Tucker decomposition of a fourth-order tensor is formulated from the cross-correlation matrix of received data in the different subarrays. Based on this higher-order structure, the iterative algorithm proposed in [1] is adapted to estimate blindly the elevation and azimuth angles of the incident signals in L-shaped arrays. Simulation results obtained shows that the proposed method gives better performance than the classical algorithms Propagator Method (PM), Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters by Rotational Invariance Techniques (ESPRIT).