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An I/Q Imbalance Detection and Calibration Scheme for mm-Wave Direct-Conversion Transmitter

Title
An I/Q Imbalance Detection and Calibration Scheme for mm-Wave Direct-Conversion Transmitter
Authors
김성범
Date Issued
2024
Publisher
포항공과대학교
Abstract
Transmitter (TX) modulation accuracy and spectral purity are a key requirement for the mm-Wave communication system. In this paper, we present an Inphase/Quadrature (I/Q) imbalance detection and calibration scheme for mm-Wave direct-conversion TX. By analyzing the relationship between the Local Oscillator (LO) I/Q Imbalance and Image Rejection Ratio (IRR), we proposed the LO I/Q imbalance detection and calibration scheme which can optimize the IRR. The proposed detection and calibration scheme is composed of 1-stage tunable RC-Poly Phase Filter (PPF) with variable resistor, Phase Detector (PD), 1-bit Phase-to-Digital Converter (PDC), Serial Peripheral Interface (SPI), 9-bit Resistive Digital-to-Analog Converter (RDAC) and Successive Approximation Register (SAR) algorithm. This scheme adjusts the cut-off frequency of PPF to LO input frequency by tuning the resistance of the PPF. For the first time, the simple and efficient SAR algorithm with 1-bit PDC was used to detect and calibrate I/Q imbalance automatically, which breaks the limitation of IRR in mm-Wave direct-conversion TX. To verify the proposed scheme, prototype is fabricated in 65-nm CMOS process. Using the proposed scheme, the measured IRR are better than 40 dB for 1 MHz-2 GHz tone-spacing and peak IRR is 68 dB. Also, the proposed scheme achieves maximum IRR improvement of 27.5dB. The proposed scheme enables -26.23 dB, -26.84 dB, -27.29 dB rms Error Vector Magnitude (EVM) for 3.2 Gb/s 16-QAM signal, 4.0 Gb/s 32-QAM signal, and 4.8Gb/s 64-QAM signal, respectively, without digital predistortion. The proposed TX provides Gain, OP1dB, PSAT of 13.8 dB, 12.6 dBm, and 13.7 dBm. The efficiency of TX is 17.4% and the DC power consumption is 135.1mW.
URI
http://postech.dcollection.net/common/orgView/200000735672
https://oasis.postech.ac.kr/handle/2014.oak/123289
Article Type
Thesis
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