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一款用于北斗三号/全球定位系统的全集成低功耗多模式射频接收器。

A Fully Integrated Low-Power Multi-Mode RF Receiver for BDS-3/GPS.

作者信息

Huang Shalin, Li Jiang, Li Mingdong, Tang Fang

机构信息

School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 401331, China.

出版信息

Sensors (Basel). 2023 Sep 3;23(17):7631. doi: 10.3390/s23177631.

DOI:10.3390/s23177631
PMID:37688087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10490606/
Abstract

A fully integrated low-power area-efficient receiver using a low-intermediate frequency topology for BDS-3 and GPS L1 bands is presented in this paper. Accurate localization can be achieved without requiring off-chip low-noise amplifiers. The receiver bandwidths for GPS and BDS-3 are 2 MHz and 4 MHz, respectively. Digitally assisted calibration schemes, such as RC calibration, automatic gain control, and DC offset correction are integrated to resist the effects of the process, voltage, and temperature (PVT) variations. The receiver-fabricated in a standard 55 nm CMOS technology-provides a maximum gain of 113.2 dB, a gain control range of 61 dB, and a minimum noise figure of 1.74 dB under a 1.2 V supply. The receiver, with and without the frequency synthesizer that provides the local oscillator frequency, consumes 8.7 mA and 4.8 mA, with areas of 0.73 mm and 0.345 mm, respectively.

摘要

本文提出了一种采用低中频拓扑结构的、用于北斗三号和全球定位系统(GPS)L1频段的全集成低功耗、面积高效的接收机。无需片外低噪声放大器即可实现精确的定位。GPS和北斗三号的接收机带宽分别为2 MHz和4 MHz。集成了数字辅助校准方案,如RC校准、自动增益控制和直流偏移校正,以抵抗工艺、电压和温度(PVT)变化的影响。该接收机采用标准55 nm CMOS技术制造,在1.2 V电源下,最大增益为113.2 dB,增益控制范围为61 dB,最小噪声系数为1.74 dB。该接收机在有和没有提供本地振荡器频率的频率合成器的情况下,功耗分别为8.7 mA和4.8 mA,面积分别为0.73 mm²和0.345 mm²。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/cc5852946726/sensors-23-07631-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/a6cf2566d4f0/sensors-23-07631-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/b9137f03496d/sensors-23-07631-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/d711f046e73d/sensors-23-07631-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/1509eda8866e/sensors-23-07631-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/01444c6e83af/sensors-23-07631-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/4f083c928409/sensors-23-07631-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/f3cb360cd60c/sensors-23-07631-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/cc5852946726/sensors-23-07631-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/a6cf2566d4f0/sensors-23-07631-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/b5e1b41f3d25/sensors-23-07631-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/8ceca6b14d83/sensors-23-07631-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/63290421ffeb/sensors-23-07631-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/10195a8c4744/sensors-23-07631-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/dcd569872dca/sensors-23-07631-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/93a5bcb1057a/sensors-23-07631-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/b9137f03496d/sensors-23-07631-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/d711f046e73d/sensors-23-07631-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/1509eda8866e/sensors-23-07631-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/cc9777ca5f1a/sensors-23-07631-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/01444c6e83af/sensors-23-07631-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/f08be28c360b/sensors-23-07631-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/70592b8fe108/sensors-23-07631-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/6861a99d903f/sensors-23-07631-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/4f083c928409/sensors-23-07631-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/f3cb360cd60c/sensors-23-07631-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/10490606/cc5852946726/sensors-23-07631-g019.jpg

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本文引用的文献

1
NaviSoC: High-Accuracy Low-Power GNSS SoC with an Integrated Application Processor.导航片上系统:集成应用处理器的高精度低功耗全球导航卫星系统片上系统
Sensors (Basel). 2020 Feb 16;20(4):1069. doi: 10.3390/s20041069.