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A Study on Low Power RF Transceiver Design for BLE / ZigBee IoT MCU Chip

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2020, 15(1), pp.47-56
  • DOI : 10.34163/jkits.2020.15.1.005
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : November 14, 2019
  • Accepted : February 7, 2020
  • Published : February 29, 2020

Ji-Hak Jung 1 Eung-Ju Kim 1

1한국폴리텍대학교

Accredited

ABSTRACT

Recently, the demand of BLE/ZigBee IoT MCU is highly increased for low power sensor network realization. In this paper, a low power and low cost BLE/ZigBee RF transceiver is studied with careful review of Bluetooth 5.0 core specification for BLE and IEEE 802.15.4 ZigBee specification. For the receiver side, a low-IF architecture with digital filtering and high ADC dynamic range is used to eliminate the analog filter to achieve both of small size and low power consumption simultaneously. Thanks to the inherent characteristics of a low-IF receiver, the proposed architecture also has the merits of high performance because of no signal loss due to DC offset removal filter and no flicker noise. For the transmitter side, a direct frequency modulation based on two point modulation and gain and phase mismatch calibration is proposed also for low power consumption. Moreover, 5bit binary-weighted inverse class-F power amplifier is proposed because the inverse class-F power amplifier shows greatly improved power efficiency even better than that of the class-F power amplifier. The 5bit binary-weighting is used for maximum transmit output power control as well as transmitter ramping for on-to-off and off-to-on transition. To meet FCC spurious emission regulation, on-chip and off-chip LC filtering and LO duty ratio control to suppress 3rd harmonic and 2nd harmonic, respectively. Finally, this paper presents the power architecture, which can support battery operation and solid power supply operation for best power efficiency and BOM cost optimization.

Citation status

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