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Design of Adaptive 4D-8PSK-TCM based on CNN for LEO Satellite Communication
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Advisor
김재현
Affiliation
아주대학교 일반대학원
Department
일반대학원 AI융합네트워크학과
Publication Year
2021-02
Publisher
The Graduate School, Ajou University
Keyword
4D-8PSK-TCMCNNLEO Satellite Communication
Description
학위논문(석사)--아주대학교 일반대학원 :AI융합네트워크학과,2021. 2
Alternative Abstract
The consultative committee for space data systems (CCSDS) recommends four dimensional eight-ary phase shift keying trellis coded modulation (4D-8PSK-TCM) for a high-speed transmission technology in the X-band. The 4D-8PSK-TCM can reduce computational complexity with T-algorithm that gains benefits by removing elements below the threshold.This thesis designs the digital communication system using 4D-8PSK-TCM and proposes adaptive decoder to maintain the bit error rate (BER) performance and minimize computational complexity for all intervals of energy per bit to noise spectral density ratio (Eb/N0). The designed system is applied with zero termination to prevent degradation of BER performance. The proposed adaptive decoder is applied with Eb/N0 classification model that optimize T-algorithm value by estimation of Eb/N0 of received signal using image generator and convolutional neural network (CNN). Moreover, this thesis compares the conventional 4D-8PSK-TCM and the 4D-8PSK-TCM using proposed adaptive decoder in terms of computational complexity and BER performance. The performance evaluation results show that proposed adaptive decoder can minimize to computational complexity while maintaining BER performance for all intervals of Eb/N0. It is expected that the proposed adaptive decoder can be used in low Earth orbit (LEO) satellite for low latency decoding.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/20012
Journal URL
http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000030521
Type
Thesis
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