Low Complexity Closed-form Solution to Semi-blind Joint Channel and Symbol Estimation in MIMO-OFDM

Konferenz: ICOF 2016 - 19th International Conference on OFDM and Frequency Domain Techniques
25.08.2016 - 26.08.2016 in Essen, Deutschland

Tagungsband: Proceedings of the 19th International Conference on OFDM and Frequency Domain Techniques (ICOF 2016)

Seiten: 5Sprache: EnglischTyp: PDF

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Autoren:
Costa, Joao Paulo C. L. da; Lima, Daniel Valle de (Department of Electrical Engineering, University of Brasilia, Brazil)
Almeida, Andre L. F. de; Freitas Jr., Walter C. (Department of Teleinformatics Engineering, Federal University of Ceara, Brazil)

Inhalt:
The Parallel Factor Analysis (PARAFAC) model is considered in several applications such as communications, RADAR and audio. In case that one factor matrix is known, the state-of-the-art closed-form scheme Least Squares Khatri-Rao Factorization (LSKRF) can be applied to estimate the remaining factor matrices. However, the LSKRF has a cubic computational complexity. In this paper a low complexity scheme known as Average Vector and Hadamard Ratio Rank One Approximation (AVEH) that refactorizes the Khatri-Rao product into estimates of the two original matrices is proposed. In contrast to LSKRF, AVEH possesses linear computational complexity. The proposed solution is validated by considering wireless systems given by the combination of Multiple-Input Multiple-Output (MIMO) systems with Orthogonal Frequency Division Multiplexing (OFDM). As shown in the numerical simulations, in terms of symbol estimation Root Means Squared Error (RMSE), AVEH can achieve the same accuracy as LSKRF.