A Self-Adaptive Frequency Response Compensation Method for a TIADC System

Peng, Ye; Pan, Huiqing; Zeng, Hao; Li, Min; Huang, Wuhuang

doi:10.1155/2013/613025

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Due to the inconsistency of the frequency response characteristics of each channel in the TIADC (that is, the frequency response mismatches), this inconsistency introduces a frequency response mismatch error in the TIADC output signal, which seriously affects the dynamic performance of the TIADC system [18]. Therefore, the calibration of the frequency response mismatch error is crucial to the system.…”

Section: Compensation Of Frequency Mismatchesmentioning

confidence: 99%

Calibration of frequency response mismatches in time‐interleaved analog‐to‐digital converter based on adaptive method

2023

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The time‐interleaved analog‐to‐digital converter (TIADC) system could achieve high sampling rate effectively, but the frequency response inconsistency among channels will introduce frequency response mismatches, which will seriously degrade the signal quality. In this paper, a novel multi‐channel frequency response mismatches adaptive calibration method is proposed. The frequency response of the compensation filter is expanded into a polynomial of a digital differentiator, and the least mean square adaptive strategy is used to calibrate frequency response mismatches. It does not require measuring the channel frequency responses in advance and uses digital post‐processing technology to effectively compensate the frequency response of the multi‐channel TIADC system and improve the spurious‐free dynamic range. The experimental results verify the effectiveness of the algorithm.

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Section: Compensation Of Frequency Mismatchesmentioning

confidence: 99%

Calibration of frequency response mismatches in time‐interleaved analog‐to‐digital converter based on adaptive method

2023

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“…where Δ and Δ refer to gain error and offset error, respectively. The Fourier transform of (4) is (6) and the Fourier transform of ( ) = Δ ( − Δ ) + Δ giveŝ(…”

Section: Model and Impact Of Tiadc Mismatchmentioning

confidence: 99%

“…A lot of methods have been proposed to calibrate the mismatches in TIADC [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Blind calibration techniques have been researched in [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A Statistic-Based Calibration Method for TIADC System

Yang

Tian

et al. 2015

Mathematical Problems in Engineering

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Time-interleaved technique is widely used to increase the sampling rate of analog-to-digital converter (ADC). However, the channel mismatches degrade the performance of time-interleaved ADC (TIADC). Therefore, a statistic-based calibration method for TIADC is proposed in this paper. The average value of sampling points is utilized to calculate offset error, and the summation of sampling points is used to calculate gain error. After offset and gain error are obtained, they are calibrated by offset and gain adjustment elements in ADC. Timing skew is calibrated by an iterative method. The product of sampling points of two adjacent subchannels is used as a metric for calibration. The proposed method is employed to calibrate mismatches in a four-channel 5 GS/s TIADC system. Simulation results show that the proposed method can estimate mismatches accurately in a wide frequency range. It is also proved that an accurate estimation can be obtained even if the signal noise ratio (SNR) of input signal is 20 dB. Furthermore, the results obtained from a real four-channel 5 GS/s TIADC system demonstrate the effectiveness of the proposed method. We can see that the spectra spurs due to mismatches have been effectively eliminated after calibration.

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