Second-order statistical approaches to channel shortening in multicarrier systems

1 We study the problem of channel shortening in multicarrier modulation systems without training. We reformulate two existing methods, the sum-squared and the sum-absolute autocorrelation minimization algorithms (SAM and SAAM), into semidefinite programming to overcome their shortcoming of local convergence. We present the original SAM and SAAM cost functions into as a batch optimization problem before relaxing the original problem into globally convergent semidefinite programming algorithms. Our batch processor is superior to the original stochastic gradient algorithms in terms of achievable bit rate and signal to interference and noise ratio (SINR).

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“…Details of this setup are available in [4]. The output SINR of the TEQ is calculated [17] according to…”

Section: Simulation Resultsmentioning

confidence: 99%

A Convex Optimization Approach to Blind Channel Shortening in Multicarrier Modulations

Han

Ding

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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“…MERRY has low-computational complexity, but a very slow convergence as it updates its parameters once per symbol. Second-order statistical methods [10] uses null space of correlation matrices in searching for an equaliser parameter vector, but this method suffers from a high-computational complexity.…”

Section: Introductionmentioning

confidence: 99%

New blind, adaptive channel shortening TEQ for multicarrier modulation systems

2014

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Channel shortening is a necessary equalisation for mitigation of inter-symbol and inter-carrier interferences in multicarrier transceivers. Its purpose is to reduce the length of the impulse response of the channel. In this study, the authors present a new algorithm with low complexity for updating the coefficients of time-domain equalisation (TEQ) to shorten the effective channel in multicarrier transmission systems. Based on the orthogonality between adjacent subcarriers and cyclic prefix, a new cost function is defined to create a blind and adaptive TEQ. Simulation results are provided to demonstrate the performance of the algorithm.

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“…From the literature, different algorithms of channel shortening in the time domain (TD) are known. This includes the non blind shortening methods: Minimum Mean Square Error (MMSE), Maximum Shortening SNR (MSSNR) and Minimum Intersymbol Interference (Min-ISI) [2,3,5], as well as the blind shortening methods: Multicarrier Equalization by Restoration of Redundancy (MERRY) and the second order statistics based methods in [6,7,8]. Most of these algorithms focus only on the channel shortening.…”

Section: Introductionmentioning

confidence: 99%

Channel shortening in OFDM system with controlled TIR quality

Jabeur

Abed-Meraim

Bonnet

2007

2007 9th International Symposium on Signal Processing and Its Applications

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This paper considers the problem of channel shortening in OFDM systems. More specifically, we propose non-blind shortening techniques with controlled target impulse response (TIR) quality. Compared to other existing channel shortening methods, the proposed solutions are computationally cheaper and lead to better BER performance. Simulation results are provided to illustrate this claim and to assess the performance of the proposed method.

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Second-order statistical approaches to channel shortening in multicarrier systems

Cited by 49 publications

References 20 publications

A Convex Optimization Approach to Blind Channel Shortening in Multicarrier Modulations

A Convex Optimization Approach to Blind Channel Shortening in Multicarrier Modulations

New blind, adaptive channel shortening TEQ for multicarrier modulation systems

Channel shortening in OFDM system with controlled TIR quality

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