Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Lalinda D. Fernando is active.

Publication


Featured researches published by Lalinda D. Fernando.


symposium on vlsi circuits | 2017

A 16-bit 16MS/s SAR ADC with on-chip calibration in 55nm CMOS

Junhua Shen; Akira Shikata; Lalinda D. Fernando; Ned Guthrie; Baozhen Chen; Mark Maddox; Nikhil Mascarenhas; Ron Kapusta; Michael Coln

This paper presents a SAR ADC that is much smaller and faster than the recently reported precision (16-bit and beyond) SAR ADCs [1, 2, 3]. In addition, it features low input capacitance and an efficient on-chip foreground calibration algorithm to fix bit weight errors. Several other enabling techniques are also used, including signal independent reference switching using reservoir capacitors to improve speed and reduce area, LSB repeats and ADC residue measurement to improve efficiency. The prototype achieves 97.5dB SFDR while operating at 16MS/s and consumes 16.3mW. It was fabricated in 55nm CMOS and occupies 0.55mm2.


IEEE Journal of Solid-state Circuits | 2018

A 16-bit 16-MS/s SAR ADC With On-Chip Calibration in 55-nm CMOS

Junhua Shen; Akira Shikata; Lalinda D. Fernando; Ned Guthrie; Baozhen Chen; Mark Maddox; Nikhil Mascarenhas; Ron Kapusta; Michael Coln

This paper presents a successive approximation register (SAR) analog-to-digital converter (ADC) that is much smaller and faster than other recently reported precision (16-bit and beyond) SAR ADCs. In addition, it features low input capacitance and an efficient on-chip foreground calibration algorithm to fix bit weight errors. Several other enabling techniques are also used, including signal independent reference using reservoir capacitors to improve speed and reduce area, plus LSB repeats and statistical residue measurement to improve efficiency. The prototype achieves 97.5-dB spurious-free dynamic range at 100-kHz input while operating at 16 MS/s and consumes 16.3 mW. It was fabricated in a 55-nm CMOS process and occupies 0.55 mm2.


asian solid state circuits conference | 2016

A 16 bit linear passive-charge-sharing SAR ADC in 55nm CMOS

Mark Maddox; Baozhen Chen; Michael Coln; Ron Kapusta; Junhua Shen; Lalinda D. Fernando

This paper presents a first reported passive-charge-sharing SAR ADC that achieves 16 bit linearity. It is known that on chip passive-charge-sharing suffers from poor linearity due to the unregulated reference voltage during bit trials. The proposed unique ADC architecture and calibration technique addresses the issue of signal dependent reference voltage droop during SAR ADC bit trials and orthogonalize the bit weights to achieve 16bit linearity. In addition, the proposed architecture maximizes SNR by sampling on to the bit cap, the first reported in this type of SAR ADC. Measurement result from a prototype test chip shows +/−0.8 LSB (16-bit level) INL at 1MSPS.


Archive | 2009

SIGNAL AMPLITUDE ADJUSTMENT TO IMPROVE RESOLVER-TO-DIGITAL CONVERTER PERFORMANCE

Lalinda D. Fernando; Michael Coln


Archive | 2010

FILTER FOR THE SUPPRESSION OF NOISE IN RESOLVER-TO-DIGITAL CONVERTERS

Lalinda D. Fernando; Michael Coln


Archive | 2013

Split-path data acquisition signal chain

Michael Coln; Lalinda D. Fernando


international symposium on circuits and systems | 2018

An Adaptive SAR ADC for DC to Nyquist Rate Signals

Baozhen Chen; Frank Yaul; Zhichao Tan; Lalinda D. Fernando


Archive | 2018

Self-adaptive analog-to-digital converter

Baozhen Chen; Lalinda D. Fernando; Frank Yaul


IEEE Journal of Solid-state Circuits | 2018

Precision Passive-Charge-Sharing SAR ADC: Analysis, Design, and Measurement Results

Baozhen Chen; Mark Maddox; Michael Coln; Ye Lu; Lalinda D. Fernando


IEEE Journal of Solid-state Circuits | 2018

Corrections to “Precision Passive-Charge-Sharing SAR ADC: Analysis, Design, and Measurement Results”

Baozhen Chen; Mark Maddox; Michael Coln; Ye Lu; Junhua Shen; Lalinda D. Fernando

Collaboration


Dive into the Lalinda D. Fernando's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge