Communication Theory
BASIC DATA
course listing
A - main register
course code
IEE1610
course title in Estonian
Sideteooria
course title in English
Communication Theory
course volume CP
-
ECTS credits
6.00
to be declared
yes
assessment form
Examination
teaching semester
spring
language of instruction
Estonian
English
Study programmes that contain the course
Structural units teaching the course
IE - Thomas Johann Seebeck Department of Electronics
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
- tutvustada telekommunikatsiooni matemaatilisi aluseid ja edastuskanalite põhitüüpe
- õpetada hindama edastuskanalite jõudlust
- tutvustada allika- ja kanalikodeerimise põhimeetodeid
- õppida tundma optimaalse vastuvõtja töö aluseks olevaid sümboli eristustehnikaid
- tutvustada sümboliinterferentsi tekkepõhjusi ja selle mõju vähendamise tehnikaid piiratud ribalaiusega edastuskanali korral
- tutvustada raadiokanali ajalis-sageduslikke parameetreid ja nende mõju kanali jõudlusele
course aims in English
- to introduce the mathematical theory of telecommunications, and basic types of communications channels
- to teach how to estimate the capacity of a channel
- to introduce basic methods of source and channel coding
- to introduce demodulation and symbol detection techniques
- to introduce the sources of intersymbol interference and methods to reduce its effects in bandlimited channels
- to introduce time-frequency characteristics of radio channel and their effect on channel capacity
learning outcomes in the course in Est.
Kursuse sooritanud üliõpilane:
- oskab arvutada sõnumiallika entroopiat ja andmekiirust
- oskab rakendada edastuskanali jõudluse hindamise põhimõtteid mürade ja häirete olemasolul kanalis
- teab peamiste allika- ja kanalikodeerimismeetodite omadusi ja kasutusvaldkondi
- teab demodulaatorite ja sümboli eristajate põhitüüpe ja oskab hinnata sümboli vea tõenäosusi
- oskab rakendada Viterbi algoritmi vastuvõetud sümbolijada dekodeerimisel
- oskab reaalsete sidekanalite projekteerimisel valida signaale ja hajutusmeetodeid sümboliinterferentsi ja vaibumiste häiriva mõju vähendamiseks
- oskab hinnata konkreetse hajutusmeetodi rakendamisega saavutatavat häirekindluse kasvu
learning outcomes in the course in Eng.
After having successfully passed the course a student:
- is able to calculate the logarithmic measure of information and data rate of a data source
- is able to estimate the channel capacity in presence of noise and distortions
- knows basic types and applications of source and channel coding methods
- knows basic types of demodulators and symbol detectors and is capable of calculating symbol error probability
- is able to implement symbol sequence detection with the Viterbi algorithm
- is able to choose proper waveforms and implement diversity techniques for a communications channel under design to reduce the effects of intersymbol interference
- is able to estimate the improvement in communications link reliability for a given diversity technique
brief description of the course in Estonian
Sidesüsteemi põhilised koostisosad. Sõnumiedastuse matemaatilised alused. Infoteooria põhimõisted. Sõnumiallika entroopia ja andmekiirus. Allikakodeerimise ja kanalikodeerimise alused. Edastus põhi- ja pääsuribas. Piiratud ribalaiusega edastuskanal. Digitaaledastus aditiivse Gaussi müraga kanalis. Optimaalne vastuvõtja. Vea tõenäosus erinevate digitaalmodulatsioonimeetodite korral. Range ja sujuva otsustusega dekodeerimine. Kandja taastamine ja vastuvõtja sünkroniseerimine. Sümboliinterferents. Ekvalaiserid. Sümbolijada dekodeerimise Viterbi algoritm. Raadiokanali ruumiline, ajaline ja sageduslik koherentsus. Hajutusmeetodid side töökindluse suurendamiseks. Hajusspekterside. MIMO. Adaptiivmodulatsioon edastusel läbi mitmekiireleviga ja vaibumistega raadiokanali.
brief description of the course in English
Basic elements of a communications system. Mathematic theory of information transmission. Data rate. Entropy. Basics of source and channel coding. Baseband and passband communications. Limited-bandwidth channel. Signaling over additive Gaussian noise channel. Optimum receiver. Probability of error for different digital modulation techniques. Soft- and hard-decision decoding. Carrier recovery and symbol synchronization. Intersymbol interference. Equalizers. Spatial coherence, coherence time and bandwidth of a radio channel. Diversity techniques. MIMO. Adaptive modulation for signalling over multipath fading channels.
type of assessment in Estonian
Lõplik teadmiste kontroll toimub eksamil. Eksamil kontrollitakse üliõpilase teoreetilisi teadmisi: mõistete definitsioone ja sidekanalite jõudluse tagamise meetodeid, samuti tõestusi nõutud mahus.
type of assessment in English
Final test of knowledge takes place in an examination. Theoretical knowledge of a student will be tested during an examination: basic definitions, methods to increase capacity of communications channels, also proofs of theorems.
independent study in Estonian
Loengumaterjalide ja õpiku peatükkide läbitöötamine.
Seminariettekande koostamine.
independent study in English
Studying of lecture notes and textbook chapters.
Preparation of a presentation on selected topics in communications.
study literature
1. Proakis, J.G. Digital Communications. McGraw-Hill, 2008.
2. Proakis, J.G., Salehi, M. Fundamentals of Communication Systems. Pearson, 2015
3. Rappaport,T.S. Wireless Communications: Principles and Practice, 2nd ed. Prentice Hall, 2014.
study forms and load
daytime study: weekly hours
3.0
session-based study work load (in a semester):
lectures
2.0
lectures
-
practices
0.0
practices
-
exercises
1.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2021/2022 spring
Eerik Lossmann, IE - Thomas Johann Seebeck Department of Electronics
English
    IEE1610-grading.pdf 
    display more
    2020/2021 spring
    Eerik Lossmann, IE - Thomas Johann Seebeck Department of Electronics
    English
      IEE1610-grading.pdf 
      2019/2020 spring
      Eerik Lossmann, IE - Thomas Johann Seebeck Department of Electronics
      English
        IEE1610-grading.pdf 
        2018/2019 spring
        Eerik Lossmann, IE - Thomas Johann Seebeck Department of Electronics
        English
          IEE1610-grading.pdf 
          Course description in Estonian
          Course description in English