2015 IEEE International Solid-State Circuits Conference - (ISSCC) Digest of Technical Papers 2015
DOI: 10.1109/isscc.2015.7063029
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14.9 Sub-sampling all-digital fractional-N frequency synthesizer with −111dBc/Hz in-band phase noise and an FOM of −242dB

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Cited by 29 publications
(16 citation statements)
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“…If the  pul sampling point is at the peak of a sine-wave, the gain would even be zero. One way to handle this issue as shown in [16] is to first convert the sine-wave into a more linear waveform like a sawtooth and then use an SSTDC to digitize the entire waveform. Digital background calibration can then be applied to linearize it.…”
Section: Discussion and Recent Sspll Developmentmentioning
confidence: 99%
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“…If the  pul sampling point is at the peak of a sine-wave, the gain would even be zero. One way to handle this issue as shown in [16] is to first convert the sine-wave into a more linear waveform like a sawtooth and then use an SSTDC to digitize the entire waveform. Digital background calibration can then be applied to linearize it.…”
Section: Discussion and Recent Sspll Developmentmentioning
confidence: 99%
“…The PD and CP noise is shown to be not multiplied by N 2 , and greatly attenuated by the high phase detection gain, leading to lower in-band phase noise and better PLL FOM. This article reviews the development of the sub-sampling PLL techniques and their applications in recent PLL architectures [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Section II discusses the classical charge pump PLL.…”
Section: Introductionmentioning
confidence: 99%
“…During a fractional-N mode operation, the phase error between reference and oscillator will increase with time and thus the PLL fails to lock, as shown in Figure 3 In recent years, two approaches have been reported to achieve fractional-N operation SSPLL [54]- [58]. In this thesis, we name these two methods as reference-shifting subsampling (RS-SS) and alias-cancelling subsampling (AC-SS).…”
Section: Fractional-n Sspllmentioning
confidence: 99%
“…Another approach to fractional-N SSPLL is shown in Figure 3-10 [58]. which is generated in a fractional-N subsampling.…”
Section: Alias-canceling Sspllmentioning
confidence: 99%
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