2021
DOI: 10.1364/oe.425688
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Hardware-efficient blind frequency offset estimation for digital subcarrier multiplexing signals

Abstract: Since the frequency offset estimation (FOE) must be implemented before the subcarrier de-multiplexing and chromatic dispersion compensation (CDC) for digital subcarrier multiplexing (DSM) signals, traditional FOE algorithms for single carrier transmission is no longer suitable. Here, we propose a hardware-efficient blind FOE solution for the DSM signals by monitoring spectral dips in the frequency domain. With the use of a smoothing filter, the estimation accuracy of FOE can be significantly increased. Moreove… Show more

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Cited by 16 publications
(7 citation statements)
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“…In this section, the computational complexity of the proposed FOE scheme is analyzed. The complexity of two reported blind FOEs for DSCM systems from [13,15] are also referred to as comparisons.…”
Section: Complexity Analysismentioning
confidence: 99%
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“…In this section, the computational complexity of the proposed FOE scheme is analyzed. The complexity of two reported blind FOEs for DSCM systems from [13,15] are also referred to as comparisons.…”
Section: Complexity Analysismentioning
confidence: 99%
“…These lead to the FOE algorithms for DSCM systems should be tolerant to CD. However, the mainstream blind FOE algorithms designed for SC systems, such as fast Fourier transform (FFT)-based FOE and differential-based FOE, would fail to work when CD is not compensated [13]. A FOE algorithm that estimates FO by searching the SCM spectrum dip bottom between subcarriers is proposed to address this challenge.…”
Section: Introductionmentioning
confidence: 99%
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“…The DSM technique is based on dividing a high baud-rate single-carrier signal into multiple lower baud-rate subcarrier signals, which has been extensively explored in coherent fiber optical transmission systems 17 22 For the generation of conventional single-carrier signals, a sequence of QAM symbols is first generated after the bit-to-symbol mapping, then up-sampled to two samples per symbol (Sps) and spectrally shaped by a root-raised cosine (RRC) filter in the frequency domain with a roll-off factor of α. As for the generation of DSM signals shown in Fig.…”
Section: Operation Principlementioning
confidence: 99%