TLT-43306 Advanced Course in Digital Transmission, 2015
Exam requirements
Updated 6.10.2015
Calculator not allowed, no need.
1. Modulation methods, channel equalization, etc.
Optimum receiver principles: correlation/matched filter receiver, sampled matched filter and whitened matched filter models, significance of minimum phase (Topic 1 lecture 1 notes; ELT-43006 lecture notes as background)
Equalizer/detector principles (General models and properties of LE, DFE and MLSD from ELT-43006 lecture notes)
Channel equalization problem in broadband wireless communications (ELT-43006 lecture notes, pp. 259-260)
Frequency-domain equalization; Block transmission using cyclic prefix (Topic 1 lecture notes)
Significance of PAPR characteristics (Topic 1 lecture notes)
As background knowledge: Basic OFDM concept and how it overcomes the channel equalization problem in broadband wireless communications.
2. Diversity techniques
General idea of diversity techniques versus adaptive modulation and coding (AMC) approach; understanding the use of channel state information in the transmitter. Different approaches for obtaining diversity (frequency diversity, time diversity, spatial diversity; frequency hopping; ARQ/HARQ in the diversity context) (Topic 1 & Topic 2 lecture notes)
Different diversity combination techniques. Also mathematical models for different combination methods (like optimum weights and instantaneous SNR expressions) and simple calculations related to diversity methods, but elaborate formulas are not needed to be remembered or derived. (Topic 2 lecture notes)
Outage concepts, including the idea of outage capacity and effect of diversity on outage-related performance. Log-normal shadowing model in this context. (Topic 2 lecture notes)
3. Statistical signal processing
Basics concepts and properties of different statistical signal processing methods (MSE estimation, Wiener filter, LMS algorithm, LS estimation, general idea of RLS (RLS algorithm details not expected)) and their applications in channel estimation and equalization in the extent covered in the lecture notes. Also mathematical formalisms for basic models and criteria; elaborate derivations are not required. (Topic 3 lecture notes 1)
ML and LMMSE channel estimation principles (notice that ML channel estimation is equivalent with LS channel estimation). Timescales of channel response variability in typical mobile communication scenarios and their implications for the two channel estimation principles. (Topic 3 lecture notes 2)
4. Multi-antenna techniques
Multiantenna basics (slides 1-21 from topic 4 lecture notes 1)