M.Sc. Tezi Görüntüleme

Student: Emin TUĞCU
Supervisor: Asst. Prof. Dr. İsmail KAYA
Department: Electrical and Electronics Engineering
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University, Turkey
Title of the Thesis: Turbo Codes and Turbo Equalizers
Level: M.Sc.
Acceptance Date: 4/7/2007
Number of Pages: 86
Registration Number: i1818

      Day by day new developments run into the information based digital communication. Particularly with the low powered communication systems improving the system performance which means keeping the data loss at the minimum level, is a very important point.

      In digital communication systems information is characterized by binary bits. Bits which will be transported to the communication channel are being modulated with special modulation techniques. Generally the communication channel causes interference between symbols due to the intersymbol interference (ISI) effects and noise is being added. Signals received by the receiver is being changed due to communication channel effects and from the received signal transported bits are tried to be obtained. Bit errors occur due to the channels ISI effects and noise.

      To protect the bits from the bit errors because of the channel effects channel coding is being operated. Using the forward error correction (FEC) codes residual bits are precieved and being corrected.

      The aim of this thesis is to develop the turbo codes to design the turbo equalizers.

      Turbo systems are iterative systems so their performance is really attractive. To evaluate the turbo equalizers performance, at what rate the channels effects on the transported data rereduced should be studied. Considering this point simulation results are presented with matched filter bound (MFB) graphics. Matched filter bound graphics are used because the best performance of a certain system can be obtained.

      Key Words:

Parallel Concatenation Codes, Recursive Convolutional Encoding, Nonuniform Interleaving, Iterative Decoding Algorithm (MAP).