Semiblind Iterative Data Detection for OFDM Systems with CFO and Doubly Selective Channels

He, Lanlan; Ma, Shaodan; Wu, Yik-Chung; Ng, Tung-Sang

doi:10.1109/tcomm.2010.092810.090682

Cited by 15 publications

(10 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Substituting it back to (38) yields (39) It is obvious that does not change when is large enough, and therefore, in (35) converges. Since (34) and (35) are equivalent, in (34) also converges. With iteration equation in (34) rewritten as (40) and since (40) converges, the spectrum radius [44].…”

Section: Theoretical Analyses Of Bp Methodsmentioning

confidence: 97%

See 1 more Smart Citation

Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation

Du¹,

Wu²

2013

IEEE Trans. Signal Process.

Self Cite

View full text Add to dashboard Cite

In this paper, we propose a fully distributed algorithm for frequency offsets estimation in decentralized systems. The idea is based on belief propagation, resulting in that each node estimates its own frequency offsets by local computations and limited exchange of information with its direct neighbors. Such algorithm does not require any centralized information processing or knowledge of global network topology, thus is scalable with network size. It is shown analytically that the proposed algorithm always converges to the optimal estimates regardless of network topology. Simulation results demonstrate the fast convergence of the algorithm and show that estimation mean-squared-error at each node approaches the centralized Cramér-Rao bound within a few iterations of message exchange.

show abstract

Section: Theoretical Analyses Of Bp Methodsmentioning

confidence: 97%

“…Next, we will show a property of . Since , taking expectation on both sides of (33), we have (34) or equivalently (35) where denotes the expectation of . Since there is always a positive value , satisfying for all , we have is strictly diagonally dominant and then is nonsingular [43].…”

Section: Theoretical Analyses Of Bp Methodsmentioning

confidence: 99%

Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation

Du¹,

Wu²

2013

IEEE Trans. Signal Process.

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, the authors assumed that the speed of the mobile terminals is known, allowing the formulation of the problem as a non-linear state-space model and solving via Sequential Monte Carlo (SMC) methods. The problem of data detection for OFDM systems with carrier frequency offset over unknown doubly selective channels was addressed in [9] where the authors utilized an Expectation-Maximization (EM) type approach. In [10], an algorithm for data detection utilizing superimposed training symbols was developed utilizing a linear minimum mean square error (LMMSE) criterion.…”

Section: Introductionmentioning

confidence: 99%

Joint Channel and Doppler Offset Estimation in Dynamic Cooperative Relay Networks

Nevat

Peters

Doucet³

et al. 2014

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

We develop a new and efficient algorithm to solve the problem of joint channel and Doppler offset estimation in timevarying cooperative wireless relay networks. We first formulate the problem as a Bayesian dynamic nonlinear state space model, then develop an algorithm, which is based on particle adaptive marginal Markov chain Monte Carlo, method to jointly estimate the time-varying channels and static Doppler offsets. We perform detailed complexity analysis of the proposed algorithm and show that it is very efficient and requires moderate computational complexity. In addition, we develop a new version of the recursive marginal Cramér-Rao lower bound and derive expressions for the achievable mean-square error. Simulation results demonstrate that the proposed algorithm outperforms the state-of-the-art algorithms and performs close to the Cramér-Rao lower bound.

show abstract

“…For slower fading rates, several methods have been developed for accurately estimating the CSI [1], [2]. Iterative joint channel estimation and data detection/decoding techniques have been proposed in recent years to reduce the required proportion of the transmitted signal dedicated to pilot symbols [3]. The key innovation of these techniques is the use of the detected data symbols from previous iterations of the receiver as 'virtual' pilots symbols to re-estimate the CSI.…”

Section: Introductionmentioning

confidence: 99%

“…This technique is based on the use of a multistage joint channel estimation/data detection system. Initial channel estimation is performed using an Extended Kalman Filter (EKF) [3], [5]. This initial channel estimation has significant error because the EKF's limited memory is not sufficient to manage the bandlimited nature of the channel fading process.…”

Section: Introductionmentioning

confidence: 99%

Iterative channel estimation and data detection in fast fading channels

McGuire

2011

2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications

View full text Add to dashboard Cite

Iterative joint channel estimation and data detection/decoding has been shown to provide good performance in slow fading channels. In fast fading channels, the previously proposed techniques require a significant amount of the transmitted signal to be dedicated to non-data carrying pilot symbols reducing system efficiency. This paper proposes a channel estimation system using an extended Kalman filter to provide an initial estimate of the channel gains which is smoothed using a Discrete Prolate Spheroidal sequence basis expansion model technique. The smoothed channel gain estimates are then fed into a Kalman filter equalizer to provide an improved data signal estimate for calculation of the probabilistic information of the transmitted data for decoding purposes. This technique allows for BER performance within 1 dB of when ideal channel state information is available even when the Doppler frequency is as high as one percent of the data symbol rate. In addition, the proposed technique requires a smaller proportion of pilot symbols to data symbols for acceptable error performance compared to previously proposed methods.

show abstract

Semiblind Iterative Data Detection for OFDM Systems with CFO and Doubly Selective Channels

Cited by 15 publications

References 21 publications

Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation

Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation

Joint Channel and Doppler Offset Estimation in Dynamic Cooperative Relay Networks

Iterative channel estimation and data detection in fast fading channels

Contact Info

Product

Resources

About