A method for carrier frequency and phase synchronization of two autonomous cooperative transmitters

Brown, Donald R.; Prince, Gregary B.; McNeill, John

doi:10.1109/spawc.2005.1505912

Cited by 74 publications

(55 citation statements)

References 5 publications

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“…As discussed in Section I, we assume for analytical tractability, that the local oscillator (LO) phases of different nodes are synchronized and that the estimated channel gains are corrupted by Gaussian noise only. This can be achieved by adopting a super-frame structure containing a phase synchronization frame to periodically synchronize the LO phases of the sensors nodes against variations in temperature and the environment; and employing the previously proposed master-slave techniques in [3], [4], [12].…”

Section: System Modelmentioning

confidence: 99%

“…With a per-node long-term average transmit power constraint, [4] extends the master-slave approach in [3] to wireless fading channels. Carrier phase synchronization with two autonomous nodes is studied in [12] and [13], and the impact of channel errors on the transmit beam pattern is reported in [7]. A random phase adjustment by each sensor node for feedback-based control is studied in [14], and [16] proposes deterministic perturbation and a 1-bit feedbackbased approach, and performs a simulation based study of the schemes.…”

Section: Introductionmentioning

confidence: 99%

“…Masterslave architectures to achieve carrier-phase synchronization are proposed and analyzed in [3] and [4]. Schemes for synchronization of two-sources are proposed in [12], [13]. A masterslave ping-pong based synchronization scheme is proposed in [19].…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of Pilot-Assisted Distributed Cophasing Approaches in Wireless Sensor Networks

Chaythanya

Annavajjala

Murthy

2011

IEEE Trans. Signal Process.

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This paper compares and analyzes the performance of distributed cophasing techniques for uplink transmission over wireless sensor networks. We focus on a time-division duplexing approach, and exploit the channel reciprocity to reduce the channel feedback requirement. We consider periodic broadcast of known pilot symbols by the fusion center (FC), and maximum likelihood estimation of the channel by the sensor nodes for the subsequent uplink co-phasing transmission. We assume carrier and phase synchronization across the participating nodes for analytical tractability. We study binary signaling over frequency flat fading channels, and quantify the system performance such as the expected gains in the received signal-to-noise ratio (SNR) and the average probability of error at the FC, as a function of the number of sensor nodes and the pilot overhead. Our results show that a modest amount of accumulated pilot SNR is sufficient to realize a large fraction of the maximum possible beamforming gain. We also investigate the performance gains obtained by censoring transmission at the sensors based on the estimated channel state, and the benefits obtained by using maximum ratio transmission (MRT) and truncated channel inversion (TCI) at the sensors in addition to cophasing transmission. Simulation results corroborate the theoretical expressions and show the relative performance benefits offered by the various schemes. IEEE Transactions on Signal ProcessingThis work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Abstract-This paper compares and analyzes the performance of distributed cophasing techniques for uplink transmission over wireless sensor networks. We focus on a time-division duplexing approach, and exploit the channel reciprocity to reduce the channel feedback requirement. We consider periodic broadcast of known pilot symbols by the fusion center (FC), and maximum likelihood estimation of the channel by the sensor nodes for the subsequent uplink co-phasing transmission. We assume carrier and phase synchronization across the participating nodes for analytical tractability. We study binary signaling over frequencyflat fading channels, and quantify the system performance such as the expected gains in the received signal-to-noise ratio (SNR) and the average probability of error at the FC, as a function of the number of sensor nodes and the pilot overhead. Our results show that a modest amount of a...

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Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of Pilot-Assisted Distributed Cophasing Approaches in Wireless Sensor Networks

Chaythanya

Annavajjala

Murthy

2011

IEEE Trans. Signal Process.

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“…Authors in [15] analyze the problem of distributed beamforming from an information-theoretic point of view, providing a lower bound for the time required to achieve phase coherence at destination in a binary signaling case. In [16], a method for carrier phase and frequency synchronization is presented in case of a two-transmitter cooperation scheme.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Deterministic Distributed Beamforming Algorithms in the Presence of Noise

Thibault

Faridi

Corazza

et al. 2013

IEEE Trans. Commun.

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This paper presents a new deterministic closed-loop phase-alignment algorithm based on quantized feedback from the receiver for distributed beamforming. In contrast with previously proposed methods, which entailed repeated transmissions from all the nodes in the network, this new algorithm requires each node to transmit only once during the synchronization cycle. This drastically reduces the amount of power consumed to achieve phase alignment, yet the new algorithm converges at least as fast as all other existing schemes. In contrast with previous analyses of distributed beamforming based on random phase updates, where noise had been disregarded, here it is explicitly included in the models and shown to have a considerable effect that cannot be ignored. With and without noise, analytical expressions that characterize the performance of the new algorithm are provided, with emphasis on various limiting regimes of interest.

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“…Hence, the issue of imperfect synchronization due to the simultaneous transmissions from multiple nodes arises and prevents cooperative communications from emerging in practice. We understand that a number of previous works such as delay-tolerant codes [17]- [19] or distributed carrier synchronization [20], [21] tried to mitigate this issue. The novelty of this work is that it lays out a new framework for the cooperation among nodes in a network that totally eliminates the said issue.…”

mentioning

confidence: 99%

Space-time network coding

Lai

Liu

2011

IEEE Trans. Signal Process.

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Abstract-Traditional cooperative communications can improve communication reliability. However, transmissions from multiple relay nodes are challenging in practice. Single transmissions in time-division multiple-access (TDMA) manner cause large transmission delay, but simultaneous transmissions from two or more nodes using frequency-division multiple access (FDMA) and code-division multiple access (CDMA) are associated with the issue of imperfect frequency and timing synchronization. In this work, a novel framework for cooperative communications is proposed to achieve full spatial diversity with low transmission delay and eliminate the issue of imperfect synchronization. This is realized by the use of space-time network codes (STNCs) associated with a novel concept of wireless network cocast. For a network of client nodes, relay nodes and a base node, the STNCs provide a diversity order of ( + 1) for each symbol with ( + ) time slots, a reduction from 2 time slots in traditional FDMA and CDMA cooperative communications for being usually greater than and from ( + 1) time slots in traditional TDMA cooperative communications. The STNCs are also applied in networks, where the client nodes located in a cluster act as relays to help one another to improve their transmission performance. The performance in clustering setting is studied to show the improvement in power saving, range extension, and transmission rate.

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A method for carrier frequency and phase synchronization of two autonomous cooperative transmitters

Cited by 74 publications

References 5 publications

Comparative Analysis of Pilot-Assisted Distributed Cophasing Approaches in Wireless Sensor Networks

Comparative Analysis of Pilot-Assisted Distributed Cophasing Approaches in Wireless Sensor Networks

Design and Analysis of Deterministic Distributed Beamforming Algorithms in the Presence of Noise

Space-time network coding

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