IEEE International Conference on Acoustics Speech and Signal Processing 2002
DOI: 10.1109/icassp.2002.1005984
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Amplitude and gain error influence on time error estimation algorithm for time interleaved A/D converter system

Abstract: A method for blind estimation of static time errors in time interleaved A/D converters is investigated. The method assumes that amplitude and gain errors are removed before the time error estimation. Even if the amplitude and gain errors are estimated and removed, there will be small errors left. In this paper, we investigate how the amplitude and gain errors influence the time error estimation performance.

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Cited by 7 publications
(10 citation statements)
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“…We see that even for these strong mismatch errors and the strong timing jitter the calculated SINAD is, except for quantization and jitter uncertainties, identical to the simulated one. Moreover, even the approximate SINAD (21), where all error sources are separated, only slightly deviates from the simulation results.…”
Section: F Derivation Of the Expected Sinad For Individual Mismatch contrasting
confidence: 54%
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“…We see that even for these strong mismatch errors and the strong timing jitter the calculated SINAD is, except for quantization and jitter uncertainties, identical to the simulated one. Moreover, even the approximate SINAD (21), where all error sources are separated, only slightly deviates from the simulation results.…”
Section: F Derivation Of the Expected Sinad For Individual Mismatch contrasting
confidence: 54%
“…Moreover, for the first time, we have introduced the concept of a meta TIADC, which allows us to consider the mutual influence of timing jitter and combined mismatch errors for an arbitrary number of channels (20). We have shown a way to separate the timing jitter power and the mismatch error power with (21). Furthermore, we have performed worst case analyses for individual errors.…”
Section: Discussionmentioning
confidence: 99%
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“…3. The offset mismatch and gain mismatch are primarily compensated to avoid the influence of offset and gain mismatches on sample-time error estimation and compensation [15]. The sample-time error compensation block consists of two functional blocks.…”
Section: Sample-time Error Compensation Using Cubic Spline Interpolationmentioning
confidence: 99%
“…There exist three main mismatch errors, including the gain mismatch error, the offset mismatch error and the time-skew error between the clock signals distributed to them. These errors will ultimately limit the system performance, causing the so-called pattern noises and significantly degrading the signal to noise and distortion ratio (SINAD) [14][15][16][17]. Detailed discussions about the mismatch errors can be found in Refs.…”
Section: Introductionmentioning
confidence: 99%