Digital Embedded Test Instrument for On-Chip Phase Noise Testing of Analog/RF Integrated Circuits

2015 ◽  
Vol 25 (03) ◽  
pp. 1640014
Author(s):  
Florence Azaïs ◽  
Stéphane David-Grignot ◽  
Laurent Latorre ◽  
François Lefevre

This paper presents a digital embedded test instrument (ETI) for on-chip phase noise (PN) testing of analog/RF integrated circuits. The technique relies on 1–bit signal acquisition and dedicated processing to compute a digital signature related to the PN level. An appropriate algorithm based on on-the-fly processing of the 1-bit signal is defined in order to implement the BIST module with minimal hardware resources. Its implementation in CMOS 140[Formula: see text]nm technology occupies only 7,885[Formula: see text][Formula: see text]m2, which represents an extremely small silicon area. Hardware measurements are performed on an FPGA prototype that validates the proposed instrument.

Author(s):  
Deep Kamal Kaur Randhawa

The nanoelectronic circuits based on single electronics would revolutionise the new generation electronic bio-medical gadgets. The high speed nanoelectronic devices would make these gadgets faster and more accurate. The nanoelectronic integrated circuits would be a boon for power saving along with advanced portability. As the scaling down of silicon based integrated circuits is limited in nanometer regime alternative materials like organic molecules, polymers, carbon nanotubes and graphene are focal point of research. These materials exhibit various electrical, electronic and mechanical properties, flexibility being one of very significant ones. Flexible nanelectronic integrated circuits would make biomedical applications very patient friendly. The in-vivo examination and diagnosis would be less injurious to the body. Also the flexible nature will increase the maneuverability of the device by the operator. It will improve the targeted diagnosis and targeted drug delivery procedures. This would further facilitate system-on- chip (soc) that will integrate multiple biomedical signal acquisition (ECG, EEG, EP, and respiration-related signals) with on-chip digital signal processing.


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