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

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

Review papers

PhD Thesis

Mismatch compensation

The following papers deal with the identification and commpensation, .i.e., calibration, 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.

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