Please use this identifier to cite or link to this item:
Title: Design of front-end receiver for low noise ultrasound imaging system
Authors: Sun, Huaxi
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Issue Date: 2017
Source: Sun, H. (2017). Design of front-end receiver for low noise ultrasound imaging system. Master's thesis, Nanyang Technological University, Singapore.
Abstract: Ultrasound imaging has been widely used in industrial and biomedical applications. In general, high sensitivity of the front-end system is always wanted. The way of increasing the sensitivity is to increase the input signal and reduce the noise figure (NF) of the system that is dominated by NF of the first stage. Therefore the ultrasound transducer, the low noise amplifier (LNA) and the matching network between them are studied, resulting in the conclusion that conventional matching techniques are insufficient for voltage amplification or noise optimization. This thesis presents a novel way of input matching to increase sensitivity. Capacitors and inductors with negligible noise are used to pre-amplify the ultrasound signal and reduce NF by making the input-referred noise of LNA less significant. The front-end design includes transducer modeling, LNA design and co-design of input matching network. Ultrasound transducer model is successfully extracted by experiment with 95% accuracy. A LNA with 0.9nV per square root of Hertz input-referred noise is designed and simulated in standard 0.18μm process. The input matching technique is verified by simulations and experiments, showing that it can provide over 15dB voltage gain and 6dB signal-to-noise ratio (SNR) improvement. Related materials have been patented.
DOI: 10.32657/10356/69564
Schools: School of Electrical and Electronic Engineering 
Research Centres: Centre for Integrated Circuits and Systems 
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
thesis_final_SunHuaxi.pdfThesis2.19 MBAdobe PDFThumbnail

Page view(s) 50

Updated on Jul 20, 2024

Download(s) 1

Updated on Jul 20, 2024

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.