| Course title | |||||
| Fundamentals for digital communications [Fundamentals for digital communications] | |||||
| Course category | Requirement | Credit | 3 | ||
| Department | Year | 1～4 | Semester | 3rd | |
| Course type | 3rd | Course code | 028876 | ||
| Instructor(s) | |||||
| 梅林 健太 [UMEBAYASHI Kenta] | |||||
| Facility affiliation | Faculty of Engineering | Office | afjgxte/L1151 | 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 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. |
| Expected Learning |
| Understand estimation problem, proper criterion of estimator design, and practical method to achieve it. |
| Course schedule |
|
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 5. Linear Models 6. General MVU estimation |
| 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 |
| 12/10/2021 4:51:54 PM |