Wireless networks have expanded beyond person-to-person communications,
connecting not only users but also machines, devices, and objects. This course will describe the role of digital signal processing in driving wireless communications technologies. The Nyquist Theorem allows bandlimited continuous-time signals to be represented by their discrete-time samples. Consequently, a wireless communications system, including channel impairments like multipath fading and noise, can be analyzed in terms of their discrete-time equivalents. Linear time-invariant (LTI) systems, which are characterized by convolution with an impulse response, can be used to model wireless channels. Deconvolution can be used to equalize the effects of the channel. Upsampling, downsampling, and multirate signal processing allow efficient implementation of pulse shaping at the transmitter and matched filtering at the receiver. This course will present many DSP tools that are relevant to wireless system design, analysis, and optimization. Other practical topics are multiple antenna signal processing (transmit beamforming, spatial multiplexing, and space-time coding), noise-shaping modulation, advanced data converters, fractional-N phase-locked loops, sampling receivers, N-path filters, and pre-distortion linearization.
- Review of random processes, noise, and the wireless communications system
- Designing appropriate wireless receiver structures to achieve given design goals
- Modeling wireless channels, and applying channel estimation (estimating an unknown filter response) and equalization (finding a deconvolution filter) techniques
- Estimating carrier frequency offset using parameters of an unknown sinusoid in noise
- Applying antenna selection and signal combining in different multiple antenna diversity systems, including transmit beamforming, spatial multiplexing, and space-time coding
- Review of noise-shaping modulation, advanced data converters, fractional-N phase-locked loops
- Review of sampling receivers, N-path filters, and pre-distortion linearization
Course Learning Outcomes:
- Learn the role of digital signal processing in wireless communications systems
- Analyze wireless channel impairments using discrete-time equivalents
- Model wireless channels as LTI systems, and equalize and mitigate effects of intersymbol interference
- Apply upsampling, downsampling, and multirate signal processing in pulse shaping at the transmitter and matched filtering at the receiver
- Apply antenna selection and signal combining techniques to the major types of MIMO systems
- Understand noise-shaping modulation, advanced data converters, fractional-N phase-locked loops, sampling receivers, N-path filters, and pre-distortion linearization
Software: Matlab and Simulink - Student Version. Software can be purchased from Mathworks.
Course Typically Offered: Online in Fall and Spring quarters.
Prerequisite: ECE-40051 Signals and Systems or equivalent knowledge and experience.
Next Step: Upon completion of this course, consider taking Applied DSP.
Contact: For more information about this course, email email@example.com.
Course Number: ECE-40283
Credit: 3.00 unit(s)
Related Certificate Programs: Digital Signal Processing, Wireless Engineering
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3/28/2023 - 5/27/2023
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Benny Bing has published over 70 scientific papers and 16 books, and has 6 U.S. patents licensed to industry. He has served as a technical editor for the IEEE Wireless Communications Magazine for 10 years, a guest editor for the IEEE Communications Magazine (twice) and IEEE JSAC, and an IEEE Distinguished Lecturer. His IEEE tutorials were sponsored 8 times by industry. Cisco Systems launched its first wireless product using 18,000 printed copies of one of his books. In addition, he was invited by Qualcomm and Comcast to conduct on-site courses, and the NSF to serve as a panelist on residential broadband. Among the various research, teaching, and industry awards he has received include the NAB Technology Innovation award. He holds undergraduate and graduate degrees in electrical enginee...Read More
Introduction to Wireless Digital Communication: A Signal Processing Perspective 1st
by Robert W. Heath, Jr,
ISBN / ASIN: 9780134431796
You may purchase textbooks via the UC San Diego Bookstore.
No refunds after: 4/3/2023.
3/28/2023 - 5/27/2023
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
There are no sections of this course currently scheduled. Please contact the Science & Technology department at 858-534-3229 or firstname.lastname@example.org for information about when this course will be offered again.