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A 2.4 GHz ULP Reconfigurable Asymmetric Transceiver for Single-Chip Wireless Neural Recording IC

机译:用于单芯片无线神经记录IC的2.4 GHz ULP可重配置非对称收发器

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This paper presents a 2.4 GHz ultra-low-power (ULP) reconfigurable asymmetric transceiver and demonstrates its application in wireless neural recording. Fabricated in $0.13~mu{rm m}$ CMOS technology, the transceiver is optimized for sensor-gateway communications within a star-shaped network, and supports both the sensor and gateway operation modes. Binary phase-shift keying (BPSK) modulation with high data rate (DR) of 1 to 8 Mbps is used in the uplink from sensor to gateway, while on-off keying (OOK) modulation with low DR of 100 kbps is adopted in the downlink. A fully integrated Class-E PA with moderate output power has also been proposed and achieves power efficiency of 53%. To minimize area usage, inductor reuse is adopted between PA and LNA, and eliminates the need of lossy T/R switch in the RF signal path. When used as sensor, the transceiver with frequency locked phase-locked loop (PLL) achieves TX (BPSK) power efficiency of 28% @ 0 dBm output power, and RX (OOK) sensitivity of $-80~{rm dBm}$ @ 100 kbps while consuming only $780~mu{rm W}$ . When configured as gateway, the transceiver achieves sensitivity levels of $-92$, $-84.5$, and $-77~{rm dBm}$ for 1, 5, and 8 Mbps BPSK, respectively. The transceiver is integrated with an 8-channel neural recording front-end, and neural signals from a rat are captured to verify the system functionality.
机译:本文提出了一种2.4 GHz超低功耗(ULP)可重构非对称收发器,并演示了其在无线神经记录中的应用。该收发器采用CMOS技术制造,采用 $ 0.13〜mu {rm m} $ CMOS技术进行了优化。整形网络,并支持传感器和网关操作模式。从传感器到网关的上行链路使用具有1到8 Mbps的高数据速率(DR)的二进制相移键控(BPSK)调制,而在传感器到网关的上行链路中则采用了具有100 kbps的低DR的开关键控(OOK)调制。下行链路。还提出了具有中等输出功率的完全集成的E类功率放大器,其功率效率达到53%。为了最大程度地减少面积使用,在PA和LNA之间采用了电感复用,从而消除了RF信号路径中有损T / R开关的需要。具有锁频锁相环(PLL)的收发器用作传感器时,在输出功率为0 dBm时,TX(BPSK)的功率效率为28%,RX(OOK)的灵敏度为<公式Formulatype =“ inline”> $-80〜{rm dBm} $ @ 100 kbps,而仅消耗 $ 780〜mu {rm W} $ 。当配置为网关时,收发器的敏感度级别为 $-92 $ $-84.5 $ $-77〜{rm dBm} $ <分别用于1、5和8 Mbps BPSK。该收发器与8通道神经记录前端集成在一起,可以捕获来自大鼠的神经信号以验证系统功能。

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