3,212 research outputs found

    Illumination waveform optimization for time-of-flight range imaging cameras

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    Time-of-flight range imaging sensors acquire an image of a scene, where in addition to standard intensity information, the range (or distance) is also measured concurrently by each pixel. Range is measured using a correlation technique, where an amplitude modulated light source illuminates the scene and the reflected light is sampled by a gain modulated image sensor. Typically the illumination source and image sensor are amplitude modulated with square waves, leading to a range measurement linearity error caused by aliased harmonic components within the correlation waveform. A simple method to improve measurement linearity by reducing the duty cycle of the illumination waveform to suppress problematic aliased harmonic components is demonstrated. If the total optical power is kept constant, the measured correlation waveform amplitude also increases at these reduced illumination duty cycles. Measurement performance is evaluated over a range of illumination duty cycles, both for a standard range imaging camera configuration, and also using a more complicated phase encoding method that is designed to cancel aliased harmonics during the sampling process. The standard configuration benefits from improved measurement linearity for illumination duty cycles around 30%, while the measured amplitude, hence range precision, is increased for both methods as the duty cycle is reduced below 50% (while maintaining constant optical power)

    Stability analysis with Pole-zero Identification: unveiling the critical dynamics of microwave circuits

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    The term pole-zero identification refers to obtaining the poles and zeros of a linear (or linearized) system described by its frequency response. This is usually done using optimization techniques (such as least squares, maximum likelihood estimation, or vector fitting) that fit a given frequency response of the linear system to a transfer function defined as the ratio of two polynomials [1], [2]. This kind of linear system identification in the frequency domain has numerous applications in a wide variety of engineering fields, such as mechanical systems, power systems, and electromagnetic compatibility. In the microwave domain, rational approximation is increasingly used to obtain black-box models of complex passive structures for model order reduction and efficient transient simulation. An extensive bibliography on the matter can be found in [3]-[6]. In this article, we focus on a different application of pole-zero identification. We review the different ways in which pole-zero identification can be applied to nonlinear circuit design, for power-amplifier stability analysis, and more. We provide a comprehensive view of recent approaches through illustrative application examples. Other uses for rational-approximation techniques are beyond the scope of this article.This work was supported in part by the French Space Agency (CNES) under projects R-S10/TG-0001-019 and R-S14/TG-0001-019; by a joint Ph.D. research grant from CNES and Thales Alenia Space, France; by project TEC2015-67217-R (MINECO/FEDER); and by the Basque Country Government through project IT1104-16

    Mid-Infrared Optical Frequency Combs based on Difference Frequency Generation for Molecular Spectroscopy

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    Mid-infrared femtosecond optical frequency combs were produced by difference frequency generation of the spectral components of a near-infrared comb in a 3-mm-long MgO:PPLN crystal. We observe strong pump depletion and 9.3 dB parametric gain in the 1.5 \mu m signal, which yields powers above 500 mW (3 \mu W/mode) in the idler with spectra covering 2.8 \mu m to 3.5 \mu m. Potential for broadband, high-resolution molecular spectroscopy is demonstrated by absorption spectra and interferograms obtained by heterodyning two combs.Comment: 11 pages, 8 figure

    5G NR-๋ฐด๋“œ ๋ฌด์„  ์ฃผํŒŒ์ˆ˜ ์†ก์ˆ˜์‹ ๊ธฐ์˜ ๊ฒ€์ฆ์„ ์œ„ํ•œ ๋ชจ๋ธ๋ง ๋ฐฉ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021.8. ๊น€์žฌํ•˜.๋„๋ž˜ํ•œ ์ดˆ์—ฐ๊ฒฐ์‹œ๋Œ€์—์„œ๋Š” ์Šค๋งˆํŠธํฐ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋‹ค์–‘ํ•œ ์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท ๋””๋ฐ”์ด์Šค๋“ค์ด 5์„ธ๋Œ€ ์ด๋™ํ†ต์‹  ์‹œ์Šคํ…œ์„ ํ™œ์šฉํ•˜๋ฉด์„œ, ๋Š˜์–ด๋‚œ ๋ฐ์ดํ„ฐ๋Ÿ‰๊ณผ ํŠธ๋ž˜ํ”ฝ์„ ๊ฐ๋‹นํ•˜๊ธฐ ์œ„ํ•ด ๋ฐ€๋ฆฌ๋ฏธํ„ฐํŒŒ ๋Œ€์—ญ์˜ ์‚ฌ์šฉ์ด ํ•„์ˆ˜์ ์ผ ๊ฒƒ์ด๋‹ค. ์‹œ์Šคํ…œ์ด ๋ณด๋‹ค ๋Œ€์šฉ๋Ÿ‰ํ™” ๊ทธ๋ฆฌ๊ณ  ๊ด‘๋Œ€์—ญํ™” ๋จ์— ๋”ฐ๋ผ, ํ†ต์‹  ๊ทœ์•ฝ์„ ๋งŒ์กฑ์‹œํ‚ค๊ธฐ ์œ„ํ•ด, ์ ์ฐจ ๊ฑฐ๋Œ€ํ•œ ๋””์ง€ํ„ธ ์บ˜๋ฆฌ๋ธŒ๋ ˆ์ด์…˜ ๋ฐ ์‹ ํ˜ธ์ฒ˜๋ฆฌ ๋กœ์ง์ด, ๋ฌด์„  ํ†ต์‹  ์ „๋‹จ๋ถ€ ์นฉ์— ํ•จ๊ป˜ ์ง‘์ ๋˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ฉ€ํ‹ฐ-๋„๋ฉ”์ธ์˜ ์‹ ํ˜ธ(์•„๋‚ ๋กœ๊ทธ/๋””์ง€ํ„ธ/๋ฌด์„ ํ†ต์‹  ์‹ ํ˜ธ)๊ฐ€ ๋ณต์žกํ•˜๊ฒŒ ํ˜ผ์„ฑ๋œ ๋ฌด์„ ํ†ต์‹  ์ง‘์ ํšŒ๋กœ ์นฉ์„, ์งง์€ ๊ฐœ๋ฐœ ๊ธฐ๊ฐ„ ๋™์•ˆ ์ถฉ๋ถ„ํžˆ ๊ฒ€์ฆํ•˜๊ธฐ์—” ์–ด๋ ค์›€์ด ๋”ฐ๋ฅธ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ํ˜ผ์„ฑ ์‹ ํ˜ธ ์‹œ์Šคํ…œ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š”, ํ•˜์œ„ ์‹œ์Šคํ…œ์„ ๋ชจ๋‘ ํฌํ•จํ•ด์„œ ์‹œ๊ฐ„ ๋„๋ฉ”์ธ์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•ด์•ผ ํ•˜๋Š”๋ฐ, ์ด๋ฅผ ์œ„ํ•œ ์ŠคํŒŒ์ด์Šค์™€ ์ŠคํŒŒ์ด์Šค-ํ•˜๋“œ์›จ์–ด ๊ธฐ์ˆ  ์–ธ์–ด์˜ co-์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ง€๋‚˜์น˜๊ฒŒ ๋Š๋ฆฌ๋‹ค๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋”ฐ๋ผ์„œ, ๋ฉ€ํ‹ฐ-๋„๋ฉ”์ธ์˜ ์‹ ํ˜ธ๋ฅผ ๋น ๋ฅด๊ณ  ์ •ํ™•ํ•˜๊ฒŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š” ๋ชจ๋ธ๋ง ๋ฐฉ๋ฒ•๊ณผ, ๋‹ค์–‘ํ•œ ์‹œ๋‚˜๋ฆฌ์˜ค์˜ ๊ฒ€์ฆ ์™„์„ฑ๋„๋ฅผ ํ–ฅ์ƒ์‹œ์ผœ์ค„ ์žˆ๋Š” ๊ฒ€์ฆ ๊ธฐ์ˆ ์ด ๋ชจ๋‘ ์š”๊ตฌ๋œ๋‹ค. ํ˜ผ์„ฑ ์‹œ์Šคํ…œ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š”, ์•„๋‚ ๋กœ๊ทธ์™€ ๋ฌด์„  ํ†ต์‹  ๋ธ”๋ก๋“ค์„ ์‹œ์Šคํ…œ ๋ฒ ๋ฆด๋กœ๊ทธ ์ƒ์—์„œ ๊ตฌํ˜„๋œ ํ•จ์ˆ˜์  ๋ชจ๋ธ๋กœ ๋Œ€์ฒดํ•˜๊ณ , ๋””์ง€ํ„ธ ๋ธ”๋ก๋“ค๊ณผ ํ•จ๊ป˜ ํ•˜๋‚˜์˜ ๋””์ง€ํ„ธ ํ”Œ๋žซํผ์—์„œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๋Š” ๊ฒƒ์ด ํšจ๊ณผ์ ์ด๋‹ค. ์‹ค์ œ ์„ค๊ณ„ํ•  ๋•Œ, ๋ฌธ์ œ๊ฐ€ ๋˜๋Š” ๋Œ€๋ถ€๋ถ„์˜ ์—๋Ÿฌ๋“ค์€, ์—ฐ๊ฒฐ ์˜ค๋ฅ˜, ๋ถ€ํ˜ธ ์˜ค๋ฅ˜, ์‹ ํ˜ธ ์ˆœ์„œ ์˜ค๋ฅ˜, ํ˜น์€ ์ž˜๋ชป๋œ ํŒŒ์›Œ ๋„๋ฉ”์ธ๊ณผ์˜ ์—ฐ๊ฒฐ๊ณผ ๊ฐ™์ด ์‚ฌ์†Œํ•œ ์˜ค๋ฅ˜๋“ค์ด๋‹ค. ์ด๋Ÿฌํ•œ ์˜ค๋ฅ˜๋ฅผ ์ฐพ๊ธฐ ์œ„ํ•ด, ์˜ค๋ž˜ ๊ฑธ๋ฆฌ๋Š” ํŠธ๋žœ์ง€์Šคํ„ฐ-๋ ˆ๋ฒจ์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜๊ธฐ๋ณด๋‹ค๋Š”, ์•„๋‚ ๋กœ๊ทธ ์ŠคํŒŒ์ด์Šค ๋ชจ๋ธ๋“ค์„ ์‹œ์Šคํ…œ ๋ฒ ๋ฆด๋กœ๊ทธ ๋ชจ๋ธ๋“ค๋กœ ๋Œ€์ฒดํ•˜๊ณ , ๋ณด๋‹ค ๋‹ค์–‘ํ•œ ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ๋น ๋ฅด๊ฒŒ ๊ฒ€์ฆํ•˜๋Š” ๋ฐฉ๋ฒ•์ด ๊ฒ€์ฆ ์™„์„ฑ๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๋Š”๋ฐ ์ ํ•ฉํ•˜๋‹ค. ๊ทธ๋Ÿผ์—๋„, ์ง€๋‚˜์น˜๊ฒŒ ๋‹จ์ˆœํ•œ ์„ ํ˜• ๋ชจ๋ธ์ด๋‚˜, ์ค‘์š”ํ•œ ํšŒ๋กœ ํŠน์„ฑ์ด ๋น ์ง„ ๋ชจ๋ธ๋กœ๋Š” ์›ํ•˜๋Š” ์ˆ˜์ค€์˜ ๊ฒ€์ฆ์ด ๋ถˆ๊ฐ€๋Šฅํ•  ์ˆ˜ ์žˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์ง์ ‘ ๋ณ€์กฐ ๊ตฌ์กฐ์˜ ๋ฌด์„ ํ†ต์‹  ์†ก์ˆ˜์‹ ๊ธฐ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋น„์ด์ƒ ํšจ๊ณผ, ์ €์ „๋ ฅ ๋™์ž‘์„ ํ•˜๋ฉด์„œ ๋ฐœ์ƒํ•˜๋Š” ๋น„์„ ํ˜• ํšจ๊ณผ, ๊ทธ๋ฆฌ๊ณ  ํ”ํžˆ ๋ฉ”๋ชจ๋ฆฌ ํšจ๊ณผ๋Š” ๋ชจ๋ธ์— ํšจ๊ณผ๋ฅผ ์ถฉ๋ถ„ํžˆ ๋ฐ˜์˜ํ•ด ์ฃผ์–ด์•ผ๋งŒ, ์ฃผํŒŒ์ˆ˜ ๋„๋ฉ”์ธ์—์„œ์˜ ๊ฒ€์ฆ, ์„ฑ๋Šฅ ์˜ˆ์ธก ๋“ฑ์˜ ๊ฒ€์ฆ์„ ์˜๋ฏธ ์žˆ๊ฒŒ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ฌธ์ œ๋Š” ๋น„์„ ํ˜• ์‹œ์Šคํ…œ์€ ํ›จ์”ฌ ๋ณต์žกํ•œ ์‹์œผ๋กœ ํ‘œํ˜„๋˜๋ฉฐ, ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‹œ ์—ฐ์‚ฐ๋Ÿ‰๋„ ํฌ๊ฒŒ ๋Š˜์–ด๋‚˜๊ธฐ ๋•Œ๋ฌธ์—, ๋น„์„ ํ˜• ๋ชจ๋ธ์„ ๋งŒ๋“ค๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•˜๊ธฐ๊ฐ€ ์‰ฝ์ง€ ์•Š๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋ชจ๋ธ์ด ๋น„์ด์ƒ์„ฑ๋“ค์„ ์ถฉ๋ถ„ํžˆ ๋ฐ˜์˜ํ•˜๋ฉด์„œ๋„ ํšจ๊ณผ์ ์ธ ๊ฒ€์ฆ์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š” ๋ชจ๋ธ๋ง/์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐฉ๋ฒ• ์—ญ์‹œ ์š”๊ตฌ๋œ๋‹ค. ๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์—์„œ๋Š”, ๋ฌด์„ ํ†ต์‹  ์†ก์ˆ˜์‹ ๊ธฐ ์ง‘์ ํšŒ๋กœ ์ „์ฒด์˜ ๋ชจ์‚ฌ ๋ชจ๋ธ์„ ์ œ์•ˆํ•œ๋‹ค. ๋ชจ๋ธ์€ ๋ˆ„์„ค ์‹ ํ˜ธ์™€ ์‹ ํ˜ธ ๊ฐ„ ๋ถˆ์ผ์น˜์— ์˜ํ•œ ๋น„-์ด์ƒ์ ์ธ ํšจ๊ณผ๋ฅผ ์—‘์Šค๋ชจ๋ธ์˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•ด ๋ฐ˜์˜ํ•˜์˜€๊ณ , ๋น„์„ ํ˜•์„ฑ๊ณผ ๋ฉ”๋ชจ๋ฆฌ ํšจ๊ณผ๋ฅผ ๋ณผํ…Œ๋ผ-์„ญ๋™๋ฒ•์„ ํ™œ์šฉํ•ด ๋ฐ˜์˜ํ•˜์˜€๋‹ค. ์ œ์•ˆํ•˜๋Š” ๋ชจ๋ธ์€ ๋‹ค์–‘ํ•œ ์ฃผํŒŒ์ˆ˜ ๋Œ€์—ญ๊ณผ ๋™์ž‘ ๋ชจ๋“œ๋ฅผ ๊ฒ€์ฆํ•˜๋Š”๋ฐ, ๊ธฐ์กด ๋“ฑ๊ฐ€ ๋ฒ ์ด์Šค๋ฐด๋“œ ๋ชจ๋ธ๋ณด๋‹ค 30~1800๋ฐฐ ๋น ๋ฅด๊ฒŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•  ์ˆ˜ ์žˆ์—ˆ๊ณ , ๋น„์ด์ƒ ํšจ๊ณผ์— ๋Œ€ํ•ด, ํ†ต์‹  ์„ฑ๋Šฅ๋“ค(์‹ฌ๋ณผ์˜ ์˜ค๋ฅ˜ ๋ฒกํ„ฐ์˜ ํฌ๊ธฐ, ์ธ์ ‘ ์ฑ„๋„์˜ ํŒŒ์›Œ ๊ทธ๋ฆฌ๊ณ  ๋น„ํŠธ ์—๋Ÿฌ)์„ ํ‰๊ฐ€ ๊ฐ€๋Šฅํ–ˆ๋‹ค. ๋‚˜์•„๊ฐ€, ์•„๋‚ ๋กœ๊ทธ ๊ฒ€์‚ฌ๊ธฐ๋ฅผ ํ™œ์šฉํ•œ ๊ธฐ๋Šฅ ๊ฒ€์ฆ๋ฒ•๊ณผ ๋ชจ๋ธ ํŒŒ๋ผ๋ฏธํ„ฐ ์ปค๋ฒ„๋ฆฌ์ง€ ๋ถ„์„๋ฒ•์„ ์ ์šฉํ•˜์—ฌ, ์‹œ์Šคํ…œ-๋ ˆ๋ฒจ ๊ฒ€์ฆ์˜ ์™„์„ฑ๋„๋ฅผ ํ–ฅ์ƒ์‹œ์ผฐ๋‹ค. ๋ฌด์„ ํ†ต์‹  ์ง‘์ ํšŒ๋กœ ๋ชจ๋ธ์— ๋‹ค์–‘ํ•œ ๋””์ž์ธ/ํŒŒ๋ผ๋ฏธํ„ฐ ์˜ค๋ฅ˜๋ฅผ ์ฃผ์ž…ํ•˜๊ณ , ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋™์•ˆ ๊ฒ€์‚ฌ๊ธฐ๊ฐ€ ์ฐพ์€ ์—๋Ÿฌ์˜ ๊ฐœ์ˆ˜์™€ ์ปค๋ฒ„๋ฆฌ์ง€ ๊ฒฐ๊ณผ๋ฅผ ์‹คํ—˜์ ์œผ๋กœ ๋ณด์˜€๋‹ค.In mobile RF transceiver systems, the large number of digital circuits employed to compensate or calibrate the non-idealities of the RF circuits call for models that can work within the digital verification platform, such as SystemVerilog. While baseband-equivalent real-number models (RNMs) are the current state-of-the-art for modeling RF transceivers in SystemVerilog, their simulation speeds and accuracy are not adequate predicting performance degradation. Since, its signals can only model the frequency components near the carrier frequency but not the DC offsets or high-order harmonic effects arising due to nonlinearities. Therefore, the growing impacts of nonlinearities call for nonlinear modeling of their key components to predict the overall system's performance. This dissertation presents the models for a multi-standard, direct-conversion RF transceiver for evaluating its system-level performance and verifying its digital controllers. Also, this work demonstrates the Volterra series model for the nonlinear analysis of a low-noise amplifier circuit in SystemVerilog, leveraging the functional expression and event-driven simulation capability of XMODEL. The simulation results indicate that the presented models, including the digital configuration/calibration logic for the 5G sub-6GHz-band and mmWave-band transceiver, can deliver 30โ€“1800ร— higher speeds than the baseband-equivalent RNMs while estimating the quadrature amplitude modulation signal constellation and error vector magnitude in the presence of non-idealities such as nonlinearities, DC offsets, and I/Q imbalances. In addition, it implements functionality checkers and parameter coverage analysis to advance the completeness of system-level verification of the RF transceivers model.Chapter 1. Introduction 1 1.1 Design and Verification Flow . 1.2 5G NR Band RF Transceiver IC . 1.3 Baseband-Equivalent and Passband Modeling . 1.4 Thesis Organization . Chapter 2. Modeling and Simulation of RF Transceiver 11 2.1 Direct Conversion RF Transceiver . 2.2 Proposed Transceiver Models . 2.3 System and Simulation Performance . Chapter 3. Nonlinear RF System Modeling 28 3.1 Volterra / Perturbation Method . 3.2 Low Noise Amplifier Example . 3.3 Nonlinearity Analysis . Chapter 4. Coverage Analysis and Functional Verification 42 4.1 Model Parameter Coverage Analysis . 4.2 Self-Checking Testbench . Chapter 5. Conclusion 54 Appendix 55 A.1 Trigonometric Equation for Non-Ideal Effects . A.2 RNM Baseband Equivalent Modeling . A.3 Parameter Coverage Analysis . A.4 List of Models . Bibliography 63 Abstract in Korean 66์„

    Fast high fidelity quantum non-demolition qubit readout via a non-perturbative cross-Kerr coupling

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    Qubit readout is an indispensable element of any quantum information processor. In this work, we experimentally demonstrate a non-perturbative cross-Kerr coupling between a transmon and a polariton mode which enables an improved quantum non-demolition (QND) readout for superconducting qubits. The new mechanism uses the same experimental techniques as the standard QND qubit readout in the dispersive approximation, but due to its non-perturbative nature, it maximizes the speed, the single-shot fidelity and the QND properties of the readout. In addition, it minimizes the effect of unwanted decay channels such as the Purcell effect. We observed a single-shot readout fidelity of 97.4% for short 50 ns pulses, and we quantified a QND-ness of 99% for long measurement pulses with repeated single-shot readouts

    Tunable coupling to a mechanical oscillator circuit using a coherent feedback network

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    We demonstrate a fully cryogenic microwave feedback network composed of modular superconducting devices connected by transmission lines and designed to control a mechanical oscillator coupled to one of the devices. The network features an electromechanical device and a tunable controller that coherently receives, processes and feeds back continuous microwave signals that modify the dynamics and readout of the mechanical state. While previous electromechanical systems represent some compromise between efficient control and efficient readout of the mechanical state, as set by the electromagnetic decay rate, the tunable controller produces a closed-loop network that can be dynamically and continuously tuned between both extremes much faster than the mechanical response time. We demonstrate that the microwave decay rate may be modulated by at least a factor of 10 at a rate greater than 10410^4 times the mechanical response rate. The system is easy to build and suggests that some useful functions may arise most naturally at the network-level of modular, quantum electromagnetic devices.Comment: 11 pages, 6 figures, final published versio

    An improved reversed miller compensation technique for three-stage CMOS OTAs with double pole-zero cancellation and almost single-pole frequency response

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    This paper presents an improved reversed nested Miller compensation technique exploiting a single additional feed-forward stage to obtain double pole-zero cancellation and ideally single-pole behavior, in a three-stage Miller amplifier. The approach allows designing a three-stage operational transconductance amplifier (OTA) with one dominant pole and two (ideally) mutually cancelling pole-zero doublets. We demonstrate the robustness of the proposed cancellation technique, showing that it is not significantly influenced by process and temperature variations. The proposed design equations allow setting the unity-gain frequency of the amplifier and the complex poles' resonance frequency and quality factor. We introduce the notion of bandwidth efficiency to quantify the OTA performance with respect to a telescopic cascode OTA for given load capacitance and power consumption constraints and demonstrate analytically that the proposed approach allows a bandwidth efficiency that can ideally approach 100%. A CMOS implementation of the proposed compensation technique is provided, in which a current reuse scheme is used to reduce the total current consumption. The OTA has been designed using a 130-nm CMOS process by STMicroelectronics and achieves a DC gain larger than 120 dB, with almost single-pole frequency response. Monte Carlo simulations have been performed to show the robustness of the proposed approach to process, voltage, and temperature (PVT) variations and mismatches
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