Course title
Fundamentals for digital communications   [Fundamentals for digital communications]
Course category   Requirement   Credit 3 
Department   Year   Semester 3rd 
Course type 3rd  Course code 028862
Instructor(s)
梅林 健太   [UMEBAYASHI Kenta]
Facility affiliation Faculty of Engineering Office   Email address

Course description
In wireless communications, estimation is one of the fundamental issues. Specifically, to receive and demodulate the received signal properly, the receiver has to estimate not only the transmitted signal but also the channel response.
However, typically they involve randomness, we have to consider it in the estimation problems.
In this class, we will study the estimation problem and techniques.

Google classroom code: 3mlww6y
Expected Learning
Understand detection and estimation problems, the appropriate criterion of detector and estimator designs, and practical methods to achieve them.
Course schedule
Basics for wireless communication
--- Detection part ---
1. Basics of statistical signal processing
2. Detection problem, What is a detection
3. One sample based detection
4. Multiple sample based detection
--- Estimation part ---
1. Estimation problem, What is an estimation.
2. Unbiased and biased estimator
3. Minimum variance unbiased estimator (MVU)
4. CRLB
4.1 CRLB
4.2 General CRLB for signals in White Gaussian Noise parameters
4.3 Transformation of parameters
Prerequisites
Required Text(s) and Materials
Fundamentals of Statistical Signal Processing, Volume 1: Estimation Theory (Prentice Hall Signal Processing Series)
References
Assessment/Grading
Report and presentation.
Message from instructor(s)
In the class, I expect willing question for students since it enhances understanding the fundamental issues regarding estimation problem in wireless communication.
Course keywords
Wireless communication, Statistical signal processing, Estimation
Office hours
Remarks 1
Remarks 2
Related URL
Lecture Language
English
Language Subject
Last update
10/25/2022 2:09:00 PM