RF Integrated Circuits. (EE 411)

2020 Fall
Faculty of Engineering and Natural Sciences
Electronics Engineering(EE)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Yaşar Gürbüz -yasar@sabanciuniv.edu,
English
Undergraduate
EE306
Formal lecture,Recitation,Laboratory
Interactive,Communicative,Simulation
Click here to view.

CONTENT

This course will deliver RF integrated circuits design methodologies using CMOS and SiGe BiCMOS technologies while also providing advantages/disadvantages of other RF technologies in terms of RF/microwave figure of merits. RF integrated circuit design fundamental/parameters will be reviewed, S-parameters, nonlinearity, sensitivity, efficiency, noise figure, input, output dynamic ranges, matching, etc., and implemented, along with circuit design fundamentals, at different circuits, such as Low Noise Amplifiers, Mixers, Oscillators, Frequency Synthesizers, and Power Amplifiers, Phase Shifters, Attenuators, etc. Recitation/Lab implementations will be carried out by designing such circuits using CAD tools, such as Cadence, ADS, Momentum, Sonnet, and also will include testing practices of such circuits.

OBJECTIVE

1) To understand the concept of RF integrated circuits
2) To analyze RF circuit building blocks building blocks (through lectures, homework and recitations)
3) To design these RF circuit building blocks (through lectures, homework and recitations.).
4) To design, simulate and optimize RF circuits with the aid of Cadence tools (through recit).
5) To design spiral inductors and transmission lines with the aid of SONNET tools (through recit).
6) To practice layout techniques in Cadence design environment (through recit).
7) To understand applications of RF circuits.

LEARNING OUTCOME

To understand the concept of analog and RF integrated circuits technology
To understand RF and microwave transistor technologies and their RF-Models
To understand fundamental design parameters of RF integrated circuits such as S-parameters, nonlinearity, sensitivity, efficiency, noise figure, input, output dynamic ranges etc.
To design matching and impedance transformation networks using in integrated circuits and components
To understand fundamentals of the following RF integrated system building blocks and circuits: Low Noise Amplifiers, Mixers, Oscillators, Frequency Synthesizers, and Power Amplifiers
To be able to analyze, design and simulate integrated RF circuits such as Low Noise Amplifiers, Mixers, Oscillators, Frequency Synthesizers, and Power Amplifiers
To be able to use and implement RF integrated circuits design and simulation tools such as ADS, Cadence Spectre
To be able to use and implement integrated passive components for different RF integrated circuit applications such as sonnet SONNET tools
To be able to understand RF integrated system specifications and breakdown these specs to building block and circuit levels
To be able to measure and characterize RF integrated components and circuits.

PROGRAMME OUTCOMES


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 5

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 5


1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 5

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 2

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 3


1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. or (b) Design and analyze communication networks and systems, signal processing algorithms or software


1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools.

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems.

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa.


1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics.

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy.

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools.


1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 3

2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 3

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 30
Midterm 30
Individual Project 15
Homework 25

RECOMENDED or REQUIRED READINGS

Textbook

1. RF Microelectronics (2nd Edition), Behzad Razavi (Required)
2. The Design of CMOS Radio-Frequency Integrated Circuits, Thomas H. Lee (Strongly Suggested)

Readings

Radio Frequency Integrated Circuit Design, J. W.M. Rogers and C. Plett