2018
DOI: 10.1007/s10836-018-5758-1
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Blind Calibration Method for Two-Channel Time-Interleaved Analog-to-Digital Converters Based on FFT

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Cited by 6 publications
(5 citation statements)
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“…A brief comparison indicating the hardware complexity of the proposed FFT-based mismatch calibration algorithm and the prior FFT-based methods in [14], [21], and [22] are presented in Table I. We assume the length of sample data for the calibration is N. Note that, for all these FFT-based techniques, the estimation accuracy increases with the number of N; however, a larger N will lead to greater computational complexity.…”
Section: B Digital Calibration Experimental Resultsmentioning
confidence: 99%
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“…A brief comparison indicating the hardware complexity of the proposed FFT-based mismatch calibration algorithm and the prior FFT-based methods in [14], [21], and [22] are presented in Table I. We assume the length of sample data for the calibration is N. Note that, for all these FFT-based techniques, the estimation accuracy increases with the number of N; however, a larger N will lead to greater computational complexity.…”
Section: B Digital Calibration Experimental Resultsmentioning
confidence: 99%
“…In Section V below that the mid-range method, (14), leads to a large reduction in the dynamic range resulting in better accuracy and higher production yields.…”
Section: Algorithm 1 Frequency Domain Methods For Estimating Gain And...mentioning
confidence: 99%
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“…As for estimation algorithms, one effective approach is blind estimation [11][12][13][14][15]. In [11], two of the channels were regarded as the reference channels, and the mismatch value could then be obtained by a series of calculations and the least mean square (LMS) algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…The authors of [21] utilised the reference signal to pre-process the received data in the frequency domain for calibration purposes. Some researchers have solved the gain, offset, and timing mismatches in timeinterleaved SDC (TIADC) systems [22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%