- 担当教員
- 府川 和彦
- 使用教室
- 月5-6(S321)
- 単位数
- 講義：2 演習：0 実験：0
- 講義コード
- 56034
- シラバス更新日
- 2014年9月18日
- 講義資料更新日
- 2014年9月18日
- 学期
- 後期
講義概要
The lecture focuses on applications of signal processing to wireless digital communications, such
as equalization, adaptive array antennas, and interference cancellation. In addition, adaptive algorithms, which estimate parameters of these items, are detailed.
講義の目的
A major aim of the lecture is to help students gain a deep understanding of important transmission techniques for wireless digital communications.
講義計画
1. Introduction and Review of Basic Knowledge
2. Signal Models for Wireless Communications
3. Statistics of Fading Channels
4. Wiener Filters and Least-Mean-Square (LMS) Algorithm
5. Recursive Least-Squares (RLS) Algorithm
6. Kalman Filters
7. Channel Equalization
8. Blind Deconvolution
9. Frequency-Domain Equalization
10. Turbo Principle
11. Diversity Combining and Adaptive Array Antennas
12. Nonlinear Interference Cancellation
13. MIMO Signal Detection
14. Precoding Techniques
15. Final Examination
教科書・参考書等
Materials will be prepared by the lecturer.
関連科目・履修の条件等
Basic communication engineering course and signal processing course are prerequisite.
成績評価
Marks are based on examinations and reports.
担当教員の一言
Any students who fully understand the lecture will not feel difficulty in following state-of-the-art techniques for wireless digital communications.
