Reduced complexity blind equalization schemes for ZP-OFDM systems

Boloix-Tortosa, Rafael; Payán-Somet, F. Javier; Murillo-Fuentes, Juan José

doi:10.1109/spawc.2007.4401386

Cited by 6 publications

(1 citation statement)

References 11 publications

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“…The previously described model arises, e.g., in some communication scenarios. In zero padding OFDM (ZP-OFDM) the model of the system can be simplified to a product of a diagonal matrix containing the FFT of the channel coefficients by a matrix that performs the IFFT of length m of the n transmitted symbols padded with zeros, m ≥ n [14], [15]. In cyclic prefix OFDM (CP-OFDM) we can introduce a linear precoding to later estimate the transmitted symbols, and the channel, by forcing statistical independence.…”

Section: Introductionmentioning

confidence: 99%

Strict Separability and Identifiability of a Class of ICA Models

Murillo-Fuentes

Boloix-Tortosa

2010

IEEE Signal Process. Lett.

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Abstract-In this letter we focus on the application of independent component analysis (ICA) to a class of overdetermined blind source separation (BSS) problems. The mixing matrix in the BSS model is the product of an unknown square diagonal matrix and a projection matrix. The last matrix performs a known projection to the same or larger dimensional space. We demonstrate the conditions for the model to be strictly separable and identifiable under the statistical independence condition, paying attention to permutations and relative scalings. These results find application, e.g., in the channel estimation of ZP-OFDM and Precoded-OFDM systems.

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Section: Introductionmentioning

confidence: 99%

Strict Separability and Identifiability of a Class of ICA Models

Murillo-Fuentes

Boloix-Tortosa

2010

IEEE Signal Process. Lett.

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Blind adaptive channel estimation for OFDM systems

Boloix-Tortosa

Simois-Tirado

Murillo-Fuentes

2009

2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications

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Abstract:We consider the problem of blind channel estimation in zero padding OFDM systems. For the first time, blind adaptive algorithms are proposed that identify the impulse response of the multipath channel. In particular, we develop RLS and LMS schemes that exhibit rapid convergence combined with low computational complexity and numerical stability. Both versions are obtained by properly modifying the orthogonal iteration method used in Numerical Analysis for the computation of singular vectors. With a number of simulation experiments we demonstrate the satisfactory performance of our adaptive schemes under diverse signaling conditions. Key

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