Blind MIMO channel identification using cumulant tensor decomposition
Carlos Estêvão Rolim Fernandes, Gérard Favier, Carlos Alexandre Rolim Fernandes, João Mota · 2018 52nd Asilomar Conference on Signals, Systems, and Computers · 2007
In this paper, we exploit the symmetry properties of fourth-order cumulants to develop a new blind identification algorithm for multiple-input multiple-output (MIMO) instantaneous channels. The proposed algorithm utilizes the Parallel Factor (Parafac) decomposition of the 4th-order cumulant tensor by solving a single-step (SS) least squares (LS) problem. This approach is shown to hold for channels with more sources than sensors. A simplified approach using a reduced-order tensor is also discussed. Computer simulations are provided to illustrate the performance of the proposed identification algorithms.