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