OFDM channel estimation by singular value decomposition

Edfors, Ove; Sandell, Magnus; Beek, Jaap van de; Wilson, Sarah Kate; Börjesson, Per Ola

doi:10.1109/vetec.1996.501446

Cited by 197 publications

(224 citation statements)

References 4 publications

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“…Dynamically utilizing the subbands is also assumed to be one of the capabilities of the terminals. The central point is assumed to be equipped with the classical pilot‐symbol‐assisted channel estimator for all subbands, as described in .…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Quality of service‐aware and security‐aware dynamic spectrum management in cyber‐physical surveillance systems for transportation

Liu

Sun

et al. 2014

Security Comm Networks

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Cyber‐physical system has been widely used in various areas as the integration of computing and physical system. As a typical application of cyber‐physical system, cyber‐physical surveillance system for transportation (CPSST) allows real‐time video monitoring to facilitate the deploying of smart transportation systems. For video streaming in CPSST, dynamic radio spectrum management is a key technology dealing with the current situation that the spectrum resource is almost used up. In this paper, taking into account the application layer quality of service and wireless link security, a novel dynamic spectrum management scheme has been proposed to minimize the system cost of CPSST. Video distortion is considered as the application layer quality of service metric, and the system cost is defined as a combination of distortion and security cost. We use intra‐refreshing rate in video coding to minimize the distortion. Furthermore, the problem is formulated as a restless bandit system, which uses current and historical information to optimize the action, with the objective of maximizing the total discounted system reward. We also describe the two spectrum management processes. Extensive simulation results are presented to demonstrate the significant performance improvement of the proposed scheme compared with the existing one that ignores video distortion and subband security optimization. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Quality of service‐aware and security‐aware dynamic spectrum management in cyber‐physical surveillance systems for transportation

Liu

Sun

et al. 2014

Security Comm Networks

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“…It is generally accepted that irrespective of the propagation medium, most commonly adopted communication protocols such as orthogonal frequencydivision multiplexing (OFDM) employing multilevel modulation schemes with non-constant amplitude (e.g. 16 QAM) generally require estimation and tracking of the fading channel parameters to perform coherent demodulation (Li et al 1998;Edfors et al 1998;Yang et al 2001). For particular modulation modalities, channel estimation is most commonly achieved by exploiting the correlation of the channel frequency response at different frequencies and times.…”

Section: Introductionmentioning

confidence: 99%

Constrained pre-equalization accounting for multi-path fading emulated using large RC networks: applications to wireless and photonics communications

et al. 2016

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Multi-path propagation is modelled assuming a multi-layer RC network with randomly allocated resistors and capacitors to represent the transmission medium. Due to frequency-selective attenuation, the waveforms associated with each propagation path incur path-dependent distortion. A pre-equalization procedure that takes into account the capabilities of the transmission source as well as the transmission properties of the medium is developed. The problem is cast within a Mixed Integer Linear Programming optimization framework that uses the developed nominal RC network model, with the excitation waveform customized to optimize signal fidelity from the transmitter to the receiver. The objective is to match a Gaussian pulse input accounting for frequency regions where there would be pronounced fading. Simulations are carried out with different network realizations in order to evaluate the sensitivity of the solution with respect to changes in the transmission medium mimicking the multi-path propagation. The proposed approach is of relevance where equalization techniques are difficult to implement. Applications are discussed within the context of emergent communication modalities across the EM spectrum such as light percolation as well as emergent indoor communications assuming various modulation protocols or UWB schemes as well as within the context of space division multiplexing.

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“…If channel estimation are not implemented, interchannel interference (ICI) occurs between adjacent sub-channels of OFDM. As a result of ICI, it is impossible to receive data by receiver correctly [3][4][5][6][7]. In order to estimate channel parameters at each subcarriers, least square (LS) and minimum mean square error (MMSE) algorithms can be used.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], Edfords offer low rank channel estimation that is implemented to MMSE and compare this proposal with LS estimator using mean square error (MSE) and symbol error rate (SER) criterias. Also the performance of the LS and MMSE algorithm is compared in [5]. By considering these works it can be said that MMSE algorithm has better performance than LS algorithm.…”

Section: Introductionmentioning

confidence: 99%

Channel estimation for OFDM systems using radial basis function networks

Seyman

Taşpınar²

2008

The International Conference on Electrical Engineering

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In this paper, in order to estimate channel impulse responses in orthogonal frequency division multiplexing (OFDM), we use radial basis function network that is a kind of neural network, because of this structure is applicable of this kind of problem for its strong approximation and learning ability. We compare the performance of channel estimator based on radial basis function neural network with LS and MMSE algorithm with bit error rate (BER) and mean square error (MSE) criterias. Also Cramer Rao bound is given to evaluate the performances of estimators. Our proposal channel estimator has better performance than LS algorithm and closer performance to MMSE algorithm. However there is unnecessity of knowledge of channel statics and noise information of channel when neural structures are used as a channel estimator. Moreover after neural structures are trained, there is no need of sending pilot tones that are used to get channel impulse responses by LS and MMSE algorithm. As a result, system spendings are reduced.

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OFDM channel estimation by singular value decomposition

Cited by 197 publications

References 4 publications

Quality of service‐aware and security‐aware dynamic spectrum management in cyber‐physical surveillance systems for transportation

Quality of service‐aware and security‐aware dynamic spectrum management in cyber‐physical surveillance systems for transportation

Constrained pre-equalization accounting for multi-path fading emulated using large RC networks: applications to wireless and photonics communications

Channel estimation for OFDM systems using radial basis function networks

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