A 13.5–19 GHz 20.6-dB Gain CMOS Power Amplifier for FMCW Radar Application

Chen, Bo; Lou, Liheng; Tang, Kai; Wang, Yong; Gao, Jianjun; Zheng, Yuanjin

doi:10.1109/lmwc.2017.2679047

Cited by 31 publications

(19 citation statements)

References 7 publications

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“…Thus, the nonlinearity of VCO is degraded by the increase of sweeping bandwidth. Besides, the nonlinearity of THz broadband devices could not be neglected [25,26,[28][29][30] because of their drastic group delay jitter [31][32][33][34], especially for electron devices like frequency multiplier and harmonic mixer in our system.…”

Section: A Modefied Nonlinear Signal Modelmentioning

confidence: 99%

A Non-Linear Correction Method for Terahertz LFMCW Radar

Zhang

et al. 2020

IEEE Access

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The nonlinearity in terahertz (THz) linear frequency modulated continuous wave (LFMCW) radar usually blurs the range profile and decreases the signal to noise ratio, hampering applications where high range-resolution is particularly emphasized. A software correction method, which comprises of transmitted nonlinearity estimation and nonlinear phase compensation for the beat signal, is proposed in this paper to drastically reduce the nonlinearity in THz LFMCW radar. Besides the commonly considered nonlinearity caused by voltage-controlled oscillator (VCO), the nonlinearity from other broadband hardware devices have also been included in our modified correction model, which gives the advantage of preciser compensation. Moreover, utilizing the phase gradient autofocus (PGA) method to estimate the transmitted nonlinear term and the residual video phase (RVP) removal method to remove the range dependency of the received nonlinearity, our method can uniformly compensate the nonlinearity in the whole range profile. In addition, no presupposed parametric model for the nonlinearity waveform is needed, which further strengthens the effectiveness of the proposed method in practical use. Both the simulated data and the real tested data, acquired by a 190 GHz radar with 60 GHz bandwidth, has been used to demonstrate the validity and the effectiveness of the method. INDEX TERMS linear frequency modulated continuous wave (LFMCW), nonlinearity correction, phase gradient autofocus (PGA), residual video phase (RVP) removal, range profile, terahertz (THz) radar.

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Section: A Modefied Nonlinear Signal Modelmentioning

confidence: 99%

A Non-Linear Correction Method for Terahertz LFMCW Radar

Zhang

et al. 2020

IEEE Access

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“…The 3 dB bandwidth is 2.5 GHz (7.4-9.9 GHz) and 2.3GHz (2.7-5.0 GHz). While in Chen et al study, 14 A Ku-band wideband PA for FMCW radar application demonstrates output saturation power of 13.9 dBm. This FMCW transmitter achieves amplitude ripple less than 2 dB and output power larger than 9 dBm from 13.8 GHz to 15.8 GHz.…”

Section: Introductionmentioning

confidence: 96%

“…The cascode combination of class‐D and class‐E with CMOS technology is introduce first moment in this work. From last few years, several studies on the development of CMOS power amplifiers has been introduced whose brief description are follows next. For example, in the study of Koo et al, a fully integrated dual‐mode power amplifier with a back‐off region of 10 dB and very low quiescent current are achieved for practical wireless communication environment.…”

Section: Introductionmentioning

confidence: 99%

An integrated cascode DE power amplifier for RF calibration system towards measurement of bio‐sensor applications

Kumar

Kanaujia

Dwari

et al. 2018

Micro & Optical Tech Letters

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The integrated cascode DE power amplifier for RF calibration system toward measurement of bio‐sensor applications is presented in this paper. The proposed architecture includes cascode class‐D and class‐E amplifier stages that could provide better calibration accuracy in terms of wide bandwidth, power efficiency, high gain, minimum group delay, and lowest calibration system. The achieved high performance of proposed amplifier overcomes conventional measurement issues toward bio‐sensor application. The inductive π‐shape matching network drives RF input to class‐D stage and provides wide bandwidth of operation. While class‐E stage with T‐shape matching network maintains stable gain and high efficiency in desired band of operation. The performance of the CMOS proposed amplifier is executed in RF ADS simulator along with fabricated chip using commercial TSMC 65 nm manufacturing process. The simulated and measured data achieves Ku band (12 GHz to 18 GHz) with almost flat gain of 30 dB. The DE amplifier provides an output and saturated power of 17 dBm with highest power efficiency of 45%. The measured calibration factor at maximum resonant frequency of 13.5 GHz achieves best value of less than 2 dB within input power range of −50 dBm to 0 dBm. The lowest calibration factor provides best accuracy along with the other parameters and could be beneficial toward bio‐sensor measurement in the various applications. The calculated area of the fabricated chip is as 0.45*0.45mm2 where class‐E consuming area of 38% and class‐D of 44%. The fabricated chip consumes less power consumption of 3.2 mW under power supply of 1 V.

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“…A radio frequency (RF) amplifier is a key component of the RF front-end [ 1 , 2 ], which has been widely used in various radio systems [ 3 ], such as navigation systems [ 4 ], radar [ 5 , 6 ] and satellite communication systems [ 7 ], mobile communication systems [ 8 ], positioning systems [ 9 ], etc. Due to different application scenarios and requirements, the above radio systems usually need to work in various environments.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Key Specifications for RF Amplifiers Using the Extreme Learning Machine

2022

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The amplifier is a key component of the radio frequency (RF) front-end, and its specifications directly determine the performance of the system in which it is located. Unfortunately, amplifiers’ specifications degrade with temperature and even lead to system failure. To study how the system failure is affected by the amplifier specification degradation, it is necessary to couple the amplifier specification degradation into the system optimization design. Furthermore, to couple the amplifier specification degradation into the optimal design of the system, it is necessary to model the characteristics of the amplifier specification change with temperature. In this paper, the temperature characteristics of two amplifiers are modeled using an extreme learning machine (ELM), and the results show that the model agrees well with the measurement results and can effectively reduce measurement time and cost.

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A 13.5–19 GHz 20.6-dB Gain CMOS Power Amplifier for FMCW Radar Application

Cited by 31 publications

References 7 publications

A Non-Linear Correction Method for Terahertz LFMCW Radar

A Non-Linear Correction Method for Terahertz LFMCW Radar

An integrated cascode DE power amplifier for RF calibration system towards measurement of bio‐sensor applications

Modeling of Key Specifications for RF Amplifiers Using the Extreme Learning Machine

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