2017
DOI: 10.1049/iet-cds.2016.0474
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Adaptive cancellation linearisation and its application to wide‐tunable Gm‐C filter design

Abstract: This paper presents an adaptive g m3 cancellation for linearisation of operational transconductance amplifier (OTA) and its application to design of a wide tunable Gm-C filter. g m3 cancellation through paralleling triode-and subthreshold-mode transconductors makes good linearisation, but only in a limited range of tuning voltage. An auxiliary circuit is employed to adaptively change the operating point of subthreshold-mode transconductor such that to keep linearisation throughout the tuning range. By this way… Show more

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Cited by 8 publications
(2 citation statements)
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References 31 publications
(39 reference statements)
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“…The idea of linearized transconductors with degenerated input pair and loop control is discussed in [32]. Several solutions based on transistor in the triode region [33], [34], or floating-gate [35], body-driven [36] and cross-coupled cells [37] have been also reported and combined with efficient techniques such as adaptive biasing [38]- [42], master-slave automatic tuning [43], and cancellation of the nonlinear terms [44], [45]. Most of the above methodologies, however, establish inevitable trade-offs between the power, area and noise parameters and the DR.…”
Section: Introductionmentioning
confidence: 99%
“…The idea of linearized transconductors with degenerated input pair and loop control is discussed in [32]. Several solutions based on transistor in the triode region [33], [34], or floating-gate [35], body-driven [36] and cross-coupled cells [37] have been also reported and combined with efficient techniques such as adaptive biasing [38]- [42], master-slave automatic tuning [43], and cancellation of the nonlinear terms [44], [45]. Most of the above methodologies, however, establish inevitable trade-offs between the power, area and noise parameters and the DR.…”
Section: Introductionmentioning
confidence: 99%
“…adaptive biasing [13]- [21], floating-gate devices [22]- [23], and nonlinearity cancellation techniques [24]- [27]. Sometimes two or more techniques are used together to improve linearity.…”
Section: Introductionmentioning
confidence: 99%