A Unified Approach to Optimum Frame Synchronization

In this paper, we present a unified approach for optimum frame synchronization where the observed symbols are modeled as the output of a Markov chain corrupted by additive white Gaussian noise (AWGN). This model encompasses many different frame synchronization situations e.g., convolutionally coded...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2006-12, Vol.5 (12), p.3700-3711
Main Authors: Huh, H., Krogmeier, J.V.
Format: Article
Language:English
Subjects:
Additive white noise
Applied sciences
AWGN
Binary phase shift keying
Convolution
Convolutional codes
Correlators
Decoding
Exact sciences and technology
Fading
Frames
Gain
Mathematical models
Modulation
Modulation coding
Nonlinearity
Performance gain
Switching and signalling
Synchronism
Synchronization
Synchronizers
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
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Summary:In this paper, we present a unified approach for optimum frame synchronization where the observed symbols are modeled as the output of a Markov chain corrupted by additive white Gaussian noise (AWGN). This model encompasses many different frame synchronization situations e.g., convolutionally coded transmissions and nonlinear modulations with memory, such as continuous-phase modulation. The proposed frame synchronizer is implemented with trellis path search used for Markov chain decoding and provides better performance than conventional synchronizers because it is able to exploit coding gain. The proposed synchronizer includes many previously proposed synchronizers either as special cases or as suboptimal approximations. The numerical results show the performance gain of the proposed frame synchronizer for convolutional codes with linear modulation, transmission over known intersymbol-interference channels, and nonlinear continuous-phase modulation signals. The proposed frame synchronizer is derived for the case of continuous transmission but may also be applied to certain packet transmission scenarios
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2006.256993