2008
DOI: 10.1007/s11277-008-9617-8
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Symbol Timing Synchronization Using Interpolation-Based Matched-Filters

Abstract: This paper presents a symbol timing synchronization method by interpolating the discrete impulse response of matched-filter, in which the group delay of matched-filter is adjusted by different interpolation step to achieve symbol timing synchronization. The proposed method is of much less complexity than the conventional polyphase filterbank method that could be viewed as a special case of interpolated matched-filters. The interpolated matched-filters are used in a loop, and the loop is simulated at 2 samples/… Show more

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Cited by 4 publications
(1 citation statement)
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“…Moreover, the time consumed by the SNR estimation for ML cannot be ignored. Although the classification accuracy degrades fast when a timing offset exists, it is less complex to accomplish the timing offset estimation and recovery than the blind SNR estimation . Therefore, we conclude that our method is more competent than ML because classification speed is the priority of this scenario.…”
Section: Resultsmentioning
confidence: 87%
“…Moreover, the time consumed by the SNR estimation for ML cannot be ignored. Although the classification accuracy degrades fast when a timing offset exists, it is less complex to accomplish the timing offset estimation and recovery than the blind SNR estimation . Therefore, we conclude that our method is more competent than ML because classification speed is the priority of this scenario.…”
Section: Resultsmentioning
confidence: 87%