DTC Linearization via Mismatch-Noise Cancellation for Digital Fractional- N PLLs
DTC Linearization via Mismatch-Noise Cancellation for Digital Fractional- N PLLs
复制标题
通过数字小数 N PLL 失配噪声消除实现 DTC 线性化
DOI:
10.1109/tcsi.2022.3200047
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Galton, Ian
中科院分区:
文献类型:
--
作者:
Helal, Eslam;Eissa, Amr I.;Galton, Ian
Digital-to-time converter (DTC) based quantization noise cancellation (QNC) has recently been shown to enable excellent fractional-PLL performance, but it requires a highly-linear DTC. Known DTC linearization strategies include analog-domain techniques which involve performance tradeoffs and digital predistortion techniques which converge slowly relative to typical required PLL settling times. Alternatively, a DTC implemented as a cascade of 1-bit DTC stages can be made highly linear without special techniques, but such DTCs typically introduce excessive error from component mismatches which has so far hindered their use in low-jitter PLLs. This paper presents a background calibration technique that addresses this issue by adaptively canceling error from DTC component mismatches. The technique is entirely digital, is compatible with a large class of digital fractional-PLLs, and has at least an order of magnitude lower convergence time than the above-mentioned predistortion techniques. The paper presents a rigorous theoretical analysis closely supported by simulation results which quantifies the calibration technique’s convergence time and noise performance.