Wavelet-Based Semiblind Channel Estimation for Ultrawideband OFDM Systems

Sadough, Seyed Mohammad Sajad; Ichir, Mahieddine; Duhamel, Pierre; Jaffrot, E.

doi:10.1109/tvt.2008.927718

Cited by 27 publications

(16 citation statements)

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“…Then, the TSM can be transformed into [8] , According to [8], after some derivation, the improved channel estimator via ESM can be given by ( 1) ( ) , , …”

Section: Robust H-inf Channel Estimation Via Esmmentioning

confidence: 99%

EM-based H-inf channel estimation in MIMO-OFDM systems

Wang

Feng

2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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A robust and reduced-complexity H-infinity (H-inf) channel estimator for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is addressed. The proposed estimator is realized by taking the following procedures: first, a simplified objective function is considered to guarantee the design simplicity of the H-inf channel estimator. Second, an expectation maximization (EM) algorithm is adopted to make the problem less complex. Third, an equivalent signal model (ESM) is utilized to relieve the non-Gaussian noise (NGN) features of practical channels, which are due to various natural or man-made impulsive sources. According to the simulation results, it is shown that the H-inf estimator has almost the same mean square error (MSE) performance as an optimal maximum a posteriori (MAP) estimator. Moreover, during implementing H-inf estimator via EM process, only few iterations are needed. Compared to traditional signal models (TSM), ESM can improve the robustness of the estimator substantially, especially in case of NGN channels.

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“…Then, the TSM can be transformed into [8] , According to [8], after some derivation, the improved channel estimator via ESM can be given by ( 1) ( ) , , …”

Section: Robust H-inf Channel Estimation Via Esmmentioning

confidence: 99%

EM-based H-inf channel estimation in MIMO-OFDM systems

Wang

Feng

2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…A semi-blind joint channel estimation and data detection scheme based on EM algorithm, with the objective of minimizing the number of estimated parameters and enhancing the estimation accuracy is considered in [29,30]. This is achieved by expressing the unknown CIR in terms of its discrete wavelet series which has been shown to provide a parsimonious representation.…”

Section: Wavelet-based Channel Estimation (Wce)mentioning

confidence: 99%

A Comprehensive Study of Channel Estimation for WBAN-based Healthcare Systems: Feasibility of Using Multiband UWB

Islam

Kwak

2010

J Med Syst

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Wireless personal area network (WPAN) is an emerging in wireless technology for short range indoor and outdoor communication applications. A more specific category of WPAN is the wireless body area network (WBAN) used for health monitoring. On the other hand, multiband orthogonal frequency division multiplexing (MB-OFDM) ultra-wideband (UWB) comes with a number of desirable features at the physical layer for wireless communications, for example, very high data rate. One big challenge in adoption of multiband UWB in WBAN is the fact that channel estimation becomes difficult under the constraint of extremely low transmission power. Moreover, the heterogeneous environment of WBAN causes a dense multipath wireless channel. Therefore, effective channel estimation is required in the receiver of WBAN-based healthcare system that uses multiband UWB. In this paper, we first outline the MB-OFDM UWB system. Then, we present an overview of channel estimation techniques proposed/investigated for multiband UWB communications with emphasis on their strengths and weaknesses. Useful suggestions are given to overcome the weaknesses so that these methods can be particularly useful for WBAN channels. Also, we analyze the comparative performances of the techniques using computer simulation in order to find the energy-efficient channel estimation methods for WBAN-based healthcare systems.

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“…In fact, instead of estimation methods based on pilot symbols only, we can use semi-blind approaches that in addition to pilot symbols, make use of data symbols in channel estimation. In this way, a considerable performance improvement can be achieved at the price of increased receiver complexity de Carvalho & Slock (2001); Sadough, Ichir, Duhamel & Jaffrot (2009). We present here two semi-blind channel estimation schemes that we implement in an iterative receiver.…”

Section: Semi-blind Psam Channel Estimationmentioning

confidence: 99%

“…The disadvantage of semi-blind approaches is the increased receiver complexity. For a reduced-complexity semi-blind joint channel estimator and data detector the reader is refered to Sadough, Ichir, Duhamel & Jaffrot (2009). An alternative to this solution is to modify the detector so as to take into account channel estimation errors.…”

Section: Improved Signal Detection In the Presence Of Channel Estimatmentioning

confidence: 99%

“…Usually, these semi-blind approaches are implemented in an iterative scheme when channel coding is performed. That is, channel estimation is performed iteratively together with signal detection and channel decoding Sadough, Ichir, Duhamel & Jaffrot (2009). We, hence, continue Section 2 by considering semi-blind estimation for the case of timemultiplexed pilots.…”

Section: Introductionmentioning

confidence: 99%

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