2005
DOI: 10.1109/lcomm.2005.1461683
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Simple equalization of time-varying channels for OFDM

Abstract: Abstract-We present a block minimum mean-squared error (MMSE) equalizer for orthogonal frequency-division multiplexing (OFDM) systems over time-varying multipath channels. The equalization algorithm exploits the band structure of the frequency-domain channel matrix by means of a band LDL H factorization. The complexity of the proposed algorithm is linear in the number of subcarriers and turns out to be smaller with respect to a serial MMSE equalizer characterized by a similar performance.

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Cited by 201 publications
(207 citation statements)
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“…To solve the above ICI problem, various frequency domain equalization (FDE) methods have been proposed both for a cyclic prefix OFDM (CP-OFDM) and time domain training sequence OFDM (TS-OFDM) [2,3,4]. In [2], a low-complexity minimum mean square error-frequency domain equalization (MMSE-FDE) method was proposed for CP-OFDM.…”
Section: Problems Of Conventional Fde Methodsmentioning
confidence: 99%
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“…To solve the above ICI problem, various frequency domain equalization (FDE) methods have been proposed both for a cyclic prefix OFDM (CP-OFDM) and time domain training sequence OFDM (TS-OFDM) [2,3,4]. In [2], a low-complexity minimum mean square error-frequency domain equalization (MMSE-FDE) method was proposed for CP-OFDM.…”
Section: Problems Of Conventional Fde Methodsmentioning
confidence: 99%
“…In [2], a low-complexity minimum mean square error-frequency domain equalization (MMSE-FDE) method was proposed for CP-OFDM. In this method, the full elements of channel frequency response (CFR) matrix which is converted from the time domain channel impulse response (CIR) is approximated by a banded matrix so as to employ a fast algorithm for inverse matrix calculation [5].…”
Section: Problems Of Conventional Fde Methodsmentioning
confidence: 99%
“…More recently, Rugini, Banelli and Leus proposed O(KD 2 ) exact LMMSE [RBL05] and MMSE-DFE [RBL06] schemes for narrowly banded 16 Q based on fast LDU decomposition. Furthermore, they showed how to design a receiver window to ensure that the noise covariance C z is quasi-banded, making the observation covariance C y = σ 2 a Q H Q + C z banded as well.…”
Section: Fast Joint Equalizationmentioning
confidence: 99%
“…In this case, the LMMSE estimation step consumes only O(K) operations (because the matrix to invert is diagonal), and FDE consumes O(K log 2 K) operations in total. Note that, for large M, FDE would be significantly cheaper than LMMSE estimation of a from y via fast LDU [RBL05] (as discussed in Section 6.3.3), which consumes O(KM 2 ) operations, where typically M ≈ K/4.…”
Section: Frequency-domain Equalizationmentioning
confidence: 99%
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