Blind Calibration Method for Two-Channel Time-Interleaved Analog-to-Digital Converters Based on FFT
Time-interleaved analog-to-digital(TIADC) is an effective way to improve the sampling rate of an analog-to-digital converter(ADC) system. However, the unavoidable timing mismatch, gain mismatch and offset mismatch significantly degrade the performance of TIADC. In this paper, a blind calibration alg...
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Veröffentlicht in: | Journal of electronic testing 2018-12, Vol.34 (6), p.643-650 |
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description | Time-interleaved analog-to-digital(TIADC) is an effective way to improve the sampling rate of an analog-to-digital converter(ADC) system. However, the unavoidable timing mismatch, gain mismatch and offset mismatch significantly degrade the performance of TIADC. In this paper, a blind calibration algorithm based on Fast Fourier Transform Algorithm(FFT) is proposed for the gain, offset and timing mismatches in a two-channel TIADC system. The explicit amplitude relationships between the input signal and the spurs caused by mismatches are derived in the frequency domain. With the explicit amplitude relationships, the frequency component of the input signal, which has the maximal energy, is used to estimate the gain and timing mismatches. The amplitude spectrum of the spur caused by offset mismatch is used to estimate the offset mismatch. The proposed algorithm needs no extra circuits and no training signal and can dynamically track the changes of the mismatches. Simulations show that the estimation errors are no more than 4%. Finally, a two-channel TIADC prototype is used to verify and demonstrate the proposed algorithm. |
doi_str_mv | 10.1007/s10836-018-5758-1 |
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However, the unavoidable timing mismatch, gain mismatch and offset mismatch significantly degrade the performance of TIADC. In this paper, a blind calibration algorithm based on Fast Fourier Transform Algorithm(FFT) is proposed for the gain, offset and timing mismatches in a two-channel TIADC system. The explicit amplitude relationships between the input signal and the spurs caused by mismatches are derived in the frequency domain. With the explicit amplitude relationships, the frequency component of the input signal, which has the maximal energy, is used to estimate the gain and timing mismatches. The amplitude spectrum of the spur caused by offset mismatch is used to estimate the offset mismatch. The proposed algorithm needs no extra circuits and no training signal and can dynamically track the changes of the mismatches. Simulations show that the estimation errors are no more than 4%. Finally, a two-channel TIADC prototype is used to verify and demonstrate the proposed algorithm.</description><identifier>ISSN: 0923-8174</identifier><identifier>EISSN: 1573-0727</identifier><identifier>DOI: 10.1007/s10836-018-5758-1</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Amplitudes ; Analog to digital conversion ; Analog to digital converters ; CAE) and Design ; Calibration ; Circuits and Systems ; Computer simulation ; Computer-Aided Engineering (CAD ; Electrical Engineering ; Engineering ; Fast Fourier transformations ; Fourier transforms ; Performance degradation</subject><ispartof>Journal of electronic testing, 2018-12, Vol.34 (6), p.643-650</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Journal of Electronic Testing is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-4f326449176360ba246c4481bceda11e6aa36e348e04904a213fc7e6d1ab521f3</citedby><cites>FETCH-LOGICAL-c316t-4f326449176360ba246c4481bceda11e6aa36e348e04904a213fc7e6d1ab521f3</cites><orcidid>0000-0002-2853-9361</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10836-018-5758-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10836-018-5758-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Bai, Xu</creatorcontrib><creatorcontrib>Hu, Hui</creatorcontrib><creatorcontrib>Li, Wanjun</creatorcontrib><creatorcontrib>Liu, Fulu</creatorcontrib><title>Blind Calibration Method for Two-Channel Time-Interleaved Analog-to-Digital Converters Based on FFT</title><title>Journal of electronic testing</title><addtitle>J Electron Test</addtitle><description>Time-interleaved analog-to-digital(TIADC) is an effective way to improve the sampling rate of an analog-to-digital converter(ADC) system. However, the unavoidable timing mismatch, gain mismatch and offset mismatch significantly degrade the performance of TIADC. In this paper, a blind calibration algorithm based on Fast Fourier Transform Algorithm(FFT) is proposed for the gain, offset and timing mismatches in a two-channel TIADC system. The explicit amplitude relationships between the input signal and the spurs caused by mismatches are derived in the frequency domain. With the explicit amplitude relationships, the frequency component of the input signal, which has the maximal energy, is used to estimate the gain and timing mismatches. The amplitude spectrum of the spur caused by offset mismatch is used to estimate the offset mismatch. The proposed algorithm needs no extra circuits and no training signal and can dynamically track the changes of the mismatches. Simulations show that the estimation errors are no more than 4%. Finally, a two-channel TIADC prototype is used to verify and demonstrate the proposed algorithm.</description><subject>Algorithms</subject><subject>Amplitudes</subject><subject>Analog to digital conversion</subject><subject>Analog to digital converters</subject><subject>CAE) and Design</subject><subject>Calibration</subject><subject>Circuits and Systems</subject><subject>Computer simulation</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Fast Fourier transformations</subject><subject>Fourier transforms</subject><subject>Performance degradation</subject><issn>0923-8174</issn><issn>1573-0727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kLFOwzAURS0EEqXwAWyWmA1-tmMnYxsoIBWxhNlyEqdNldrFTov4e1wViYnpLedcPR2EboHeA6XqIQLNuSQUcpKpLCdwhiaQKU6oYuocTWjBOMlBiUt0FeOGJodlcoKa-dC7Fpdm6Otgxt47_GbHtW9x5wOuvjwp18Y5O-Cq31ry6kYbBmsOtsUzZwa_IqMnj_2qH82AS-8ONiQi4rmJCUlri0V1jS46M0R783un6GPxVJUvZPn-_FrOlqThIEciOs6kEAUoySWtDROyESKHurGtAbDSGC4tF7mloqDCMOBdo6xswdQZg45P0d1pdxf8597GUW_8PqQvo2bApOJQCJooOFFN8DEG2-ld6LcmfGug-thSn1rq1FIfW2pIDjs5MbFuZcPf8v_SD0IKdaE</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Bai, Xu</creator><creator>Hu, Hui</creator><creator>Li, Wanjun</creator><creator>Liu, Fulu</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7XB</scope><scope>88I</scope><scope>88K</scope><scope>8AO</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M2P</scope><scope>M2T</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><orcidid>https://orcid.org/0000-0002-2853-9361</orcidid></search><sort><creationdate>20181201</creationdate><title>Blind Calibration Method for Two-Channel Time-Interleaved Analog-to-Digital Converters Based on FFT</title><author>Bai, Xu ; 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However, the unavoidable timing mismatch, gain mismatch and offset mismatch significantly degrade the performance of TIADC. In this paper, a blind calibration algorithm based on Fast Fourier Transform Algorithm(FFT) is proposed for the gain, offset and timing mismatches in a two-channel TIADC system. The explicit amplitude relationships between the input signal and the spurs caused by mismatches are derived in the frequency domain. With the explicit amplitude relationships, the frequency component of the input signal, which has the maximal energy, is used to estimate the gain and timing mismatches. The amplitude spectrum of the spur caused by offset mismatch is used to estimate the offset mismatch. The proposed algorithm needs no extra circuits and no training signal and can dynamically track the changes of the mismatches. Simulations show that the estimation errors are no more than 4%. 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subjects | Algorithms Amplitudes Analog to digital conversion Analog to digital converters CAE) and Design Calibration Circuits and Systems Computer simulation Computer-Aided Engineering (CAD Electrical Engineering Engineering Fast Fourier transformations Fourier transforms Performance degradation |
title | Blind Calibration Method for Two-Channel Time-Interleaved Analog-to-Digital Converters Based on FFT |
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