2015
DOI: 10.1007/s10470-015-0629-5
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Analysis and design of low noise transconductance amplifier for selective receiver front-end

Abstract: Analysis and design of a low-noise transconductance amplifier (LNTA) aimed at selective current-mode (SAW-less) wideband receiver front-end is presented. The proposed LNTA uses double cross-coupling technique to reduce noise figure (NF), complementary derivative superposition, and resistive feedback to achieve high linearity and enhance input matching. The analysis of both NF and IIP3 using Volterra series is described in detail and verified by SpectreRF (A (R)) circuit simulation showing NF less than 2 dB and… Show more

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Cited by 1 publication
(2 citation statements)
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“…The circuit is differential and is designed in 65 nm CMOS with elevated supply voltage in the first stage to avoid compression by blockers [68]. The first LNA uses two linearization techniques, namely the derivative superposition and resistive feedback, with NF reduction by double capacitive crosscoupling which results in good noise performance [115] shown in Fig. 3.7.…”
Section: Design Of Two-stage Receiver Front-endmentioning
confidence: 99%
See 1 more Smart Citation
“…The circuit is differential and is designed in 65 nm CMOS with elevated supply voltage in the first stage to avoid compression by blockers [68]. The first LNA uses two linearization techniques, namely the derivative superposition and resistive feedback, with NF reduction by double capacitive crosscoupling which results in good noise performance [115] shown in Fig. 3.7.…”
Section: Design Of Two-stage Receiver Front-endmentioning
confidence: 99%
“…This Chapter presents a tunable receiver front-end with high blocker rejection achieved by two-stage impedance transformation. The front-end design is based on a low noise transconductance amplifier (LNTA) [115] which is well suited to reject outof-band blockers due to high ratio between its output impedance and on-resistance of switches used in the impedance transformation circuit.…”
Section: Introductionmentioning
confidence: 99%