具有智能校准的可重构功率高效量化模拟射频前端

Justin Yonghui Kim;Antonio Liscidini
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引用次数: 1

摘要

提出了一种采用量化模拟信号处理的功率可扩展射频前端。前端基于电压模式功率可缩放方法,该方法允许根据操作场景缩放功率耗散,并对失配损伤执行灵活校准。功率和输入动态范围可以根据所需的1-dB压缩点(1dBCP)进行缩放(从−15.3到0.5 dBm),同时保持2.5dB NF的相同灵敏度。信号路径功率可以在3.3到6.4 mW之间变化,而时钟生成和分配功率可以在1.6到18.5 mW/GHz之间变化,相位噪声低至−171.2 dBc/Hz。校准后,IM2和IM3提高了33 dB,1dBCP提高了1 dB,这导致在0 dBm 1dBCP时IIP3达到26.1 dBm,IIP2达到71 dBm。
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A Reconfigurable Power-Efficient Quantized Analog RF Front-End With Smart Calibration
A power-scalable RF front-end using quantized analog signal processing is presented. The front-end is based on a voltage-mode power-scalable approach which allows the power dissipation to be scaled upon the operative scenario and to perform an agile calibration for mismatch impairments. Power and input dynamic range can be scaled upon the desired 1-dB compression point (1dBCP) (from −15.3 to 0.5 dBm) while keeping the same sensitivity with 2.5-dB NF. Signal path power can vary between 3.3 and 6.4 mW while clock generation and distribution power can vary between 1.6 and 18.5 mW/GHz, with a phase noise as low as −171.2 dBc/Hz. After calibration, IM2 and IM3 improved up to 33 dB while 1dBCP improved by 1 dB, which resulted in achieving an IIP3 of 26.1 dBm and IIP2 of 71 dBm at 0-dBm 1dBCP.
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