Multicarrier Modulation Using Perfect Reconstruction DFT Filter Bank Transceivers

Beaulieu, F.D.; Champagne, Benoı̂t

doi:10.1109/icics.2005.1689015

Cited by 7 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using the derived property F * [n] * F T [n] = M δ[n]I M , the signals after the matched filter are given by (9), and are summarized by …”

Section: Application Of Dft Filters In Mimo-ofdmmentioning

confidence: 99%

“…2). Equation (9) shows that the matrix Z[n] is comprised of M · M r sequences; each row contains one OFDM signal convolved with each of its M r corresponding channel impulse responses, with each column being specific to one receive antenna. In the frequency domain, i.e., after cyclic prefix 'removal' and demodulation, each of these terms will include one data symbol s i [k] and one channel frequency response gain…”

Section: Modelmentioning

confidence: 99%

“…[9][10][11][12][13] The PR filter banks differ largely from the type of system in question in this paper, as they typically involve both decimation and upsampling. In this system, filters generated from the rows of the DFT matrix (see section 3.3) are applied in a circulant manner (see (1)) across both multiple antennas and time slots.…”

Section: Complementary Sequencesmentioning

confidence: 99%

“…While maximum-likelihood (ML) symbol estimation (described in sec. 4) requires channel knowledge, the act of separating the signalss i [n] according to(9) does not. Thus perturbations in the channel estimates, while affecting symbol estimation, have no effect on the actions of perfect separation and reconstruction.A possible use of this observation is that of M -complementary sequence-based channel estimation.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Space-time processing for MIMO-OFDM using DFT-based complementary sequences

2010

View full text Add to dashboard Cite

In this paper, a new space-time signaling scheme is proposed for Orthogonal Frequency Division Multiplexing (OFDM) using complementary sequences derived from the rows of the DFT matrix. The autocorrelative properties of the complementary sequences allows multiple complex data signals at the transmitter with an arbitrary number of antennas to be perfectly separated and reconstructed at the receiver without prior channel knowledge while achieving full-rate. This new method is proposed and derived for multiple MIMO-OFDM systems with multipath fading; at the receiver, symbol estimation is effected via maximum likelihood estimation (ML).

show abstract

“…Using the derived property F * [n] * F T [n] = M δ[n]I M , the signals after the matched filter are given by (9), and are summarized by …”

Section: Application Of Dft Filters In Mimo-ofdmmentioning

confidence: 99%

Section: Modelmentioning

confidence: 99%

Section: Complementary Sequencesmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Space-time processing for MIMO-OFDM using DFT-based complementary sequences

2010

View full text Add to dashboard Cite

show abstract

“…It distinctly determines the system performance including the frequency selectivity of the subcarriers, the intersymbol interference (ISI) and the interchannel interference (ICI) [3]. Some attentions have been paid for the design of the prototype filter for satisfying the perfect reconstruction (PR) condition [2,[4][5][6]. In [4,5], the oversampled PR discrete Fourier transform modulated filter bank was applied to the multicarrier system.…”

Section: Introductionmentioning

confidence: 99%

Efficient design of prototype filter for large scale filter bank‐based multicarrier systems

Jiang

Ling

Ouyang

2017

IET signal process.

View full text Add to dashboard Cite

This study presents a new property of the filter bank-based multicarrier (FBMC) system. Also, an efficient iterative algorithm for designing the system with a large number of subcarriers and a prototype filter with a very long length are proposed. For the system, the compact from conditions are derived for both the intersymbol interference free and the interchannel interference (ICI) free. Based on these new conditions, the design of the prototype filter is formulated as an unconstrained optimisation problem where the objective function is the weighted sum of the total distortion of the system and the stopband energy. By deriving the gradient vector of the objective function, an efficient iterative algorithm is proposed for finding the solution of the optimisation problem. In addition, an efficient matrix inversion approach is presented to greatly reduce the computational complexity of the iterative algorithm. As a result, it is feasible to design the FBMC system with thousands of subcarriers. The convergence of the iterative algorithm is proved. Computer numerical simulation results with the comparisons to the existing methods are presented. It is shown that the proposed design algorithm is more effective and efficient than the existing methods.

show abstract

Prototype Filter

Jiang¹

2018

OQAM/FBMC for Future Wireless Communications

View full text Add to dashboard Cite

Multicarrier Modulation Using Perfect Reconstruction DFT Filter Bank Transceivers

Cited by 7 publications

References 8 publications

Space-time processing for MIMO-OFDM using DFT-based complementary sequences

Space-time processing for MIMO-OFDM using DFT-based complementary sequences

Efficient design of prototype filter for large scale filter bank‐based multicarrier systems

Prototype Filter

Contact Info

Product

Resources

About