The Distinguished Lecture on “Frac-N Sampling PLL with Phase Detection and Quantization Noise Cancellation in a Single Ramp Generation” will take place as follows:
Date: 11 March 2025 (Tuesday)
Time: 16:00 – 17:00
Venue: Research Building N21, G013
The speaker is:
Prof. GAO Xiang, School of Integrated Circuits, Zhejiang University, Hangzhou, China
The Lecture is:
Frac-N Sampling PLL with Phase Detection and Quantization Noise Cancellation in a Single Ramp Generation
Abstract:
Conventional PLLs detecting phase error in the time domain using a phase frequency detector often suffer from poor in-band phase noise due to the limited phase detector (PD) gain. The (Sub-)Sampling PLL is becoming a popular low jitter PLL architecture due to high gain of the SSPD. However, the high gain SSPD has a limited linear detection range, which is a challenge in fractional-N operation with the quantization noise. This talk presents a SPLL design with a merged constant-slope digital-to-time converter(DTC) and sampling phase detector (CSDTC-SPD). It realizes phase detection as well as quantization noise cancellation in a single ramp generation.
Biography:
Prof. GAO Xiang received the B.E. degree from the Zhejiang University, Hangzhou, China, in 2004 and the M.Sc. and Ph.D. (cum laude) degrees from the University of Twente, Enschede, The Netherlands, in 2006 and 2010 respectively, both in electrical engineering. From 2010 to 2016, he was a principal engineer and design manager with Marvell Semiconductor, Santa Clara, CA, focusing on analog and RF IC design for wireless transceivers. From 2016 to 2018, he was an Engineering Director with Credo Semiconductor, Milpitas, CA, working on high-speed SerDes. Since August 2018, he has been a Faculty member at Institute of VLSI Design, Zhejiang University, China. He invented the Sub-Sampling PLL architecture and defined the widely used PLL FOM. He is an IEEE senior member, and is currently TPC member of ISSCC、TPC and Steering Committee member of RFIC.
For more details, kindly find the event poster, abstract and bio.
