2011
DOI: 10.1109/tsp.2011.2113181
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Low-Complexity ICI/ISI Equalization in Doubly Dispersive Multicarrier Systems Using a Decision-Feedback LSQR Algorithm

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Cited by 34 publications
(13 citation statements)
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“…We can make a difference between linear equalizers based on zero-forcing (ZF) [7] or minimum mean-square error criterion [8][9][10], and non-linear equalizers based on ICI cancelation or decision-feedback [11][12][13][14][15][16]. Linear equalization requires the inversion of the frequency channel matrix, which is prohibitively complex for large OFDM symbols.…”
Section: Background On Ici Suppressingmentioning
confidence: 99%
“…We can make a difference between linear equalizers based on zero-forcing (ZF) [7] or minimum mean-square error criterion [8][9][10], and non-linear equalizers based on ICI cancelation or decision-feedback [11][12][13][14][15][16]. Linear equalization requires the inversion of the frequency channel matrix, which is prohibitively complex for large OFDM symbols.…”
Section: Background On Ici Suppressingmentioning
confidence: 99%
“…This band structure has previously been exploited for similar OFDM equalisation schemes using LDL H [17] or LSQR [14] factorisations of the Hermitian term G n = B n B H n + γ −1 I. Here, we utilise the sparsity of G n to invoke a very recently reported iterative least squares minres (LSMR) approach in [18], which claims to offer lower complexity, higher numerical stability, and faster convergence than the LSQR method.…”
Section: B Low Cost Approachesmentioning
confidence: 99%
“…In all these schemes the equaliser complexity can be reduced by exploiting the approximate band structure of the resulting channel matrix [10,12]. ICI equalisers in [13,14] apply the LSQR algorithm [15,16] which offers a low complexity approach to solve linear systems.…”
Section: Introductionmentioning
confidence: 99%
“…A large number of different algorithms have been studied in the last decade for ICI cancellation, e.g., [1][2][3], which take advantage of the banded channel matrix to remove the ICI from neighbouring subcarriers sequentially. Additionally, some techniques in [4,5] exploit the sparsity of the banded matrix to design the OFDM block equalizers. Also, several pre-equalized methods have been proposed in [6][7][8][9][10] to reduce the time variations and obtain a quasi-diagonal channel matrix as convectional OFDM systems over the *Correspondence: huangyao@cuit.edu.cn Chengdu University of Information Technology, Sichuan, China slowly time-varying channels.…”
Section: Introductionmentioning
confidence: 99%