Timing Estimation and Resynchronization for Amplify-and-Forward Communication Systems

Xiao, Li; Xing, Chengwen; Wu, Yik-Chung; Chan, S.C.

doi:10.1109/tsp.2009.2039837

Cited by 53 publications

(86 citation statements)

References 39 publications

(83 reference statements)

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“…Note that the results in [11] are limited to the case of DF relaying and to achieve timing synchronization, the proposed MLE requires each relay's timing offset to not exceed one symbol timing duration, which is not justifiable in the case of cooperative networks consisting of multiple distributed relays with different oscillators. In [12] timing offset estimation in amplify-and-forward (AF) relaying cooperative networks is analyzed. However, the Cramer-Rao lower bound (CRLB) results in [12] are not in closed-form and the analysis is based on the assumption of perfect timing offset estimation and matched-filtering of the received signals at the relays [13].…”

Section: Introduction Smentioning

confidence: 99%

“…In [12] timing offset estimation in amplify-and-forward (AF) relaying cooperative networks is analyzed. However, the Cramer-Rao lower bound (CRLB) results in [12] are not in closed-form and the analysis is based on the assumption of perfect timing offset estimation and matched-filtering of the received signals at the relays [13]. The latter is not a justifiable assumption considering that [12] is seeking to address timing synchronization in distributed cooperative networks [13].…”

Section: Introduction Smentioning

confidence: 99%

“…However, the Cramer-Rao lower bound (CRLB) results in [12] are not in closed-form and the analysis is based on the assumption of perfect timing offset estimation and matched-filtering of the received signals at the relays [13]. The latter is not a justifiable assumption considering that [12] is seeking to address timing synchronization in distributed cooperative networks [13]. Moreover, unlike the results in [12], for AF relaying networks the received signals at the relays are not matched-filtered to reduce complexity and ease the deployment of relays [1]- [3].…”

Section: Introduction Smentioning

confidence: 99%

“…The latter is not a justifiable assumption considering that [12] is seeking to address timing synchronization in distributed cooperative networks [13]. Moreover, unlike the results in [12], for AF relaying networks the received signals at the relays are not matched-filtered to reduce complexity and ease the deployment of relays [1]- [3]. Finally, [11], [12] do not provide any insight into the effect of training sequences on timing offset estimation performance.…”

Section: Introduction Smentioning

confidence: 99%

“…Moreover, unlike the results in [12], for AF relaying networks the received signals at the relays are not matched-filtered to reduce complexity and ease the deployment of relays [1]- [3]. Finally, [11], [12] do not provide any insight into the effect of training sequences on timing offset estimation performance.…”

Section: Introduction Smentioning

confidence: 99%

See 4 more Smart Citations

Estimation, Training, and Effect of Timing Offsets in Distributed Cooperative Networks

Mehrpouyan

Blostein

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Abstract-Successful collaboration in cooperative networks requires accurate estimation of multiple timing offsets. When combined with signal processing algorithms, the estimated timing offsets can be applied to mitigate the resulting inter-symbol interference (ISI). This paper seeks to address timing synchronization in distributed multi-relay amplify-and-forward (AF) and decode-andforward (DF) relaying networks, where timing offset estimation using a training sequence is analyzed. First, training sequence design guidelines are presented that are shown to result in improved estimation performance. Next, two iterative estimators are derived that can determine multiple timing offsets at the destination. The proposed estimators have a considerably lower computational complexity while numerical results demonstrate that they are accurate and reach or approach the Cramer-Rao lower bound (CRLB).

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Section: Introduction Smentioning

confidence: 99%

Section: Introduction Smentioning

confidence: 99%

Section: Introduction Smentioning

confidence: 99%

Section: Introduction Smentioning

confidence: 99%

Section: Introduction Smentioning

confidence: 99%

See 3 more Smart Citations

Estimation, Training, and Effect of Timing Offsets in Distributed Cooperative Networks

Mehrpouyan

Blostein

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Protocol design and data detection for two‐way relay networks with fractional asynchronous delays

Fang

Liang

Zhang

et al. 2012

Int J Communication

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SUMMARYIn wireless two‐way relay systems, it is difficult to achieve perfect timing synchronization among different nodes. In this paper, we investigate relaying protocol design and data detect schemes for asynchronous two‐way relaying systems to combat the intersymbol interference caused by asynchronous transmission. We consider fractional asynchronous delays and two schemes are proposed based on cyclic prefixed single carrier block transmission, namely, the receiver frequency domain equalization scheme and relay synchronization and network coding (RSNC) scheme. In the receiver frequency domain equalization scheme, the relay simply amplifies the received signal and forwards to the two source nodes, and fractionally spaced frequency domain equalizer (FS‐FDE) is employed at the receiver to recover the transmit data. In the RSNC scheme, the asynchronous signals are resynchronized with an FS‐FDE at the relay node. The output signals of FS‐FDE are then demodulated and network coded before forwarding to the two source nodes. In this RSNC scheme, data detection at the source nodes is the same as that in synchronous networks because the asynchronous signals have already been synchronized at the relay node. Simulation results show that the performance of both schemes is almost the same as in the perfect synchronized two‐way relaying systems. Copyright © 2012 John Wiley & Sons, Ltd.

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Low complexity timing estimation and resynchronization for asynchronous bidirectional communications with multiple antenna relay

Fang

Liang

Wang

et al. 2014

Int J Communication

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In this paper, we consider an asynchronous bidirectional communication system over flat fading channels in which the two source nodes are not perfectly synchronized. A low complexity pilot aided timing estimation and resynchronization scheme is proposed to combat the fractional asynchronous delay between the two source nodes. In the proposed scheme, cyclic prefixed single carrier block transmission is implemented at the two sources and frequency domain orthogonal pilots are transmitted to the relay simultaneously. After timing and channel estimation at the relay, a fractionally spaced frequency domain equalizer is employed at the relay to resynchronize the received mixed signals. With the proposed resynchronization scheme, the data detection at the two sources is the same as in a perfect synchronized system, because the two asynchronous signals are already resynchronized at the relay node. Simulation results show that the performance gap between the proposed scheme and the perfect synchronized system is within 1 dB when there are four antennas at the relay.

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Timing Estimation and Resynchronization for Amplify-and-Forward Communication Systems

Cited by 53 publications

References 39 publications

Estimation, Training, and Effect of Timing Offsets in Distributed Cooperative Networks

Estimation, Training, and Effect of Timing Offsets in Distributed Cooperative Networks

Protocol design and data detection for two‐way relay networks with fractional asynchronous delays

Low complexity timing estimation and resynchronization for asynchronous bidirectional communications with multiple antenna relay

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