Soft Turbo Equalization for Wireless Communication

 




 

Lee, Christina Ai Ying (2019) Soft Turbo Equalization for Wireless Communication. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Turbo equalization is an equalizer used in the receiver of wireless communication to improve the data received by canceling the interference symbol in the data iteratively. One of the targets of 5G wireless communication is lower the Bit-Error-Rate (better quality recovered signal) and maintain the complexity of the system low at the same time. In 4G LTE, MMSE equalizer is used to reduce the BER. However, it is believed the BER of the wireless communication can be lowered to next level. There are numerous idea and solution proposed on BER reducing and low complexity system. One of the solutions is implementing turbo equalizer with SNC concept into the system, proposed by Amy Tan [1]. Therefore, this project aims to continue the work proposed by Amy Tan by implement turbo equalization in practical wireless communication. The content of this proposal consists of details in signal processing in each stage and reviews on others work to support the project in implementing turbo equalizer in the system. Methodology on how to model a wireless communication system and turbo equalizer implementation to the modeled system were also included in this proposal. Where the turbo equalizer to be implemented fetch the soft value produce by Turbo Decoder and perform Spawn Nulling and Canceling (SNC) on the signal and send to the MMSE equalizer and repeat the demodulating and decoding process. The whole process of turbo equalizer use of soft value, which means the input and output of turbo equalizer were all soft values.

Item Type: Final Year Project
Subjects: Technology > Electrical engineering. Electronics engineering
Faculties: Faculty of Engineering > Bachelor of Engineering (Honours) Electrical and Electronics
Depositing User: Library Staff
Date Deposited: 31 Jan 2020 02:34
Last Modified: 31 Jan 2020 02:34
URI: https://eprints.tarc.edu.my/id/eprint/13040