[Home] || [Publications] || [Research] || [Teaching]

Christian Vogel

Dr. Christian Vogel

Senior Researcher - Telecommunications Research Center Vienna (FTW)
Docent for Analog and Digital Signal Processing  - Graz University of Technology, SPSC Laboratory
Email: vogel@ftw.at
Phone: +43 316 873 - 4383
Office Graz: IDEG 104, Inffeldgasse 16c, A-8010 Graz, Austria
Office Vienna: Donau-City-Straße 1, A-1220 Vienna, Austria

[TI-ADCs] [TI-DACs] [ADPLL] [Burst-Mode Transmitters] [Time-Varying Systems]





Time-interleaved Analog-to-digital Converters (TIADCs, TI-ADCs, ti adcs)

Join the "Time Interleaved ADC Interest Group" on LinkedIn.

I am working now for more than 10 years on digital calibration algorithms for time-interleaved ADCs. If you are interested in collaborations please contact me.

The idea of a time-interleaved ADC (TIADC) is to use a system of M parallel channel ADCs, which alternately take samples (time-interleaved sampling). Thereby, the sampling frequency of one channel does not need to fulfill the Nyquist criterion; however, when in the digital domain all samples are merged into one output sequence the overall sampling frequency fulfills the Nyquist criterion. Therefore, sampling with an ideal time-interleaved ADC with M channels is equivalent to sampling with an ideal ADC with an M times higher sampling rate. The channels of a time-interleaved ADC can be realized in different converter technologies to achieve for example high-rate and low-power ADCs or high-rate and high-resolution ADCs.
The typical structure of a time-interleaved ADC is shown in the picture below. We see the analog input signal xa(t), the M time-interleaved parallel channels, and the multiplexer (MUX) to combine the digital outputs of the channels. The conversion rate of the overall system increases by the number of channels M. It should be noticed that each channel has to deal with the entire analog input signal xa(t), and, therefore, the sample-and-holds in each channel have to resolve the full input signal bandwidth.
TIADC

©2003-2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Review papers

Book

Mismatch compensation

The following papers deal with identification and commpensation of mismatches in time-interleaved ADCs. As the calibration with special input signals is solved, the papers focus on blind calibration methods.

Compensation structures

The following papers deal with low-complexity structures for time-interelaved ADCs. As most of the time the digital signal should be processed in real-time, we need flexible filter structures and low-complexity algorithms. These structures and algorithms build the basis for identification and calibration algorithms.

Mismatch analysis

These papers adress typical mismatch errors such as gain, offset, time offset, linearity, and frequency mismatches in time-interleaved ADCs.