Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
On the virtual array concept for higher order array processing
IEEE Transactions on Signal Processing
Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures
IEEE Transactions on Signal Processing
Blind MIMO System Estimation Based on PARAFAC Decomposition of Higher Order Output Tensors
IEEE Transactions on Signal Processing
Identifiability results for blind beamforming in incoherentmultipath with small delay spread
IEEE Transactions on Signal Processing
PARAFAC-Based Blind Estimation Of Possibly Underdetermined Convolutive MIMO Systems
IEEE Transactions on Signal Processing
Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
IEEE Transactions on Signal Processing
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In this paper, we consider the problem of estimating the physical parameters that describe a multipath MIMO communication channel model characterized by specular reflections due to remote scatterers. Using the impulse response channel coefficients, we introduce a channel model based on a 3rd- order tensor structure that admits a Parafac decomposition with rank equal to the number of propagation paths. The alternating least squares (ALS) algorithm is used to estimate the channel spatial and temporal signatures and the multipath parameters are then extracted by means of MUSIC-like subspace algorithms, enabling us to recover the transmit and receive angles as well as the path propagation delays of the MIMO channel, without ambiguities. Computer simulation results are shown to illustrate the performance of the proposed ALS-MUSIC estimation algorithm.