Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.ufc.br/handle/riufc/69522
Tipo: Artigo de Evento
Título : Tensor-based compressed estimation of frequency-selective mmWave MIMO channels
Autor : Araújo, Daniel Costa
Almeida, André Lima Férrer de
Palabras clave : Teleinformática
Fecha de publicación : 2017
Editorial : International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Citación : ARAÚJO, D. C.; ALMEIDA, A. L. F. Tensor-based compressed estimation of frequency-selective mmWave MIMO channels. In: INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, 7., 2017, Curaçao. Anais... Curaçao: IEEE, 2017. p. 1-5.
Resumen en portugués brasileño: This paper develops a novel channel estimation technique for frequency-selective mmWave MIMO channels using a hybrid analog-digital architecture. By adopting a tensor formalism to model the effective channel, we link the channel estimation problem to the theory of multi-way compressive sensing of sparse tensors via Parallel Factors (PARAFAC) analysis. By leveraging on this link, a joint estimation of the compressed channel bases (spatial transmit, spatial receive and delay) can be obtained by means of an alternating least squares algorithm. Once these bases are estimated, the channel parameters are extracted by solving a simpler compressive sensing (CS) problem for each basis. Some useful bounds on the minimum number of beams and pilot sequence length can be derived from Kruskal’s uniqueness conditions for sparse PARAFAC models. Remarkable channel estimation performance is obtained with short pilot sequences and very few beams, as shown in our simulation results.
URI : http://www.repositorio.ufc.br/handle/riufc/69522
Aparece en las colecciones: DETE - Trabalhos apresentados em eventos

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
2017_eve_alfalmeida.pdf127,63 kBAdobe PDFVisualizar/Abrir


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.