2011
DOI: 10.1109/lpt.2011.2164059
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Optimizing FFT Precision in Optical OFDM Transceivers

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Cited by 17 publications
(9 citation statements)
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“…As the processing speed of a typical FPGA is constrained at hundreds of MHz compared with multi-GHz DACs/ADCs, a highly parallel and pipelined IFFT architecture is thus crucial, which, however, introduces significant difficulties in reusing the complex functions that are typically employed in low-speed OFDM systems. Investigations of the impacts of the IFFT bit resolution on the OOFDM transceiver performance have been reported [11][12][13], where the IFFT operation is treated as a "black-box" without taking into account bit resolution variations between different intermediate IFFT stages.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…As the processing speed of a typical FPGA is constrained at hundreds of MHz compared with multi-GHz DACs/ADCs, a highly parallel and pipelined IFFT architecture is thus crucial, which, however, introduces significant difficulties in reusing the complex functions that are typically employed in low-speed OFDM systems. Investigations of the impacts of the IFFT bit resolution on the OOFDM transceiver performance have been reported [11][12][13], where the IFFT operation is treated as a "black-box" without taking into account bit resolution variations between different intermediate IFFT stages.…”
Section: Introductionmentioning
confidence: 99%
“…As the processing speed of a typical FPGA is constrained at hundreds of MHz compared with multi-GHz DACs/ADCs, a highly parallel and pipelined IFFT architecture is thus crucial, which, however, introduces significant difficulties in reusing the complex functions that are typically employed in low-speed OFDM systems. Investigations of the impacts of the IFFT bit resolution on the OOFDM transceiver performance have been reported [11][12][13], where the IFFT operation is treated as a "black-box" without taking into account bit resolution variations between different intermediate IFFT stages.In this paper, extensive numerical explorations are undertaken, for the first time, of the IFFT stage-dependent minimum bit resolutions required for achieving the specific transceiver performance. An optimum map of minimum bit resolutions of different IFFT stages against DAC resolutions is obtained for different signal modulation formats.…”
mentioning
confidence: 99%
“…Despite the variation in the constellation sizes between QPSK, 16-QAM, and 64-QAM, the EVMs achieved close proximity due to the normalization factor of the EVM relative to the individual constellation sizes; see Eq. (10) [32,34]. However, a larger constellation size requires a lower EVM to achieve the same bit error rate compared to a smaller constellation size [32,34].…”
Section: Best Case and Worst Case Transmission Conditionmentioning
confidence: 99%
“…(10) [32,34]. However, a larger constellation size requires a lower EVM to achieve the same bit error rate compared to a smaller constellation size [32,34].…”
Section: Best Case and Worst Case Transmission Conditionmentioning
confidence: 99%
“…The required resolution of a digital analog converter (D/A) and an analog digital converter (A/D) for OFDM systems is reported in [7]. The authors of [8] discussed the relationship between fast Fourier transform (FFT) size and calculation precision, and they suggested that reducing the precision of the FFT and inverse FFT (IFFT) allows us to reduce the power of the DSP [9]. However, there is no precision management approach for OFDM-PON systems according to transmission distance designed to reduce power consumption.…”
Section: Introductionmentioning
confidence: 99%