A Blind Background Calibration Technique for Super-Regenerative Receivers

In this brief, a blind background calibration technique for super-regenerative receivers (SRRs) is presented. The proposed calibration scheme is designed to help SRRs to maintain their high sensitivity and immunity to negative transconductance ( {\mathrm {-}\mathrm {G}}_{\mathrm {m}} ) variations un...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2022-02, Vol.69 (2), p.344-348
Main Authors: Fu, Ximing, El-Sankary, Kamal, Ge, Yang, Yin, Yadong, Truhachev, Dmitri
Format: Article
Language:English
Subjects:
Adaptive algorithms
blind calibration
Calibration
Circuits
current steering DAC
envelope detector
Estimation
Finite state machines
Interruption
offset cancelation
Probability distribution
Pseudorandom
PVT variations
Receivers
Sensitivity
Signal detection
Super-regenerative receiver
system offset
Time-frequency analysis
Transconductance
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Summary:In this brief, a blind background calibration technique for super-regenerative receivers (SRRs) is presented. The proposed calibration scheme is designed to help SRRs to maintain their high sensitivity and immunity to negative transconductance ( {\mathrm {-}\mathrm {G}}_{\mathrm {m}} ) variations under process-voltage- temperature (PVT) variations. Unlike the conventional foreground {-\mathrm {G}}_{\mathrm {m}} variations calibration techniques that require interruption of the receiver input, the proposed calibration technique employs input signal statistics and does not require interruption of the input bit-stream for extraction of the errors. The proposed scheme is based on an adaptive algorithm that compares the probability distribution of the pseudorandom-input (PI) stream and the output of the super-regenerative oscillator (SRO) and forces them to coincide at the end of the calibration. The proposed technique is implemented using a mixed-signal detection circuit and a finite state machine (FSM) that drives an 8-bit successive approximation register (SAR) to adjust the compensation current in the SRO. The simulation results successfully verify the effectiveness and reliability of the proposed calibration technique and show significant improvements in terms of SRR sensitivity under different process corners.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2021.3095115