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Research On Low Complexity Terahertz Baseband Signal Processing Method

Posted on:2024-07-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y M DuFull Text:PDF
GTID:2530307079964109Subject:Information and Communication Engineering
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Terahertz communication not only solves the problem of spectrum scarcity in previous wireless communication systems in the low frequency range,but also meets the emerging communication needs of future society with extremely high data transmission rates.However,the baseband system algorithms and processing platforms designed for low-frequency communication are difficult to meet the corresponding requirements of terahertz communication.Therefore,it is necessary to study high-performance and low complexity baseband processing schemes suitable for terahertz communication,so as to adapt to the unique channel characteristics of terahertz and assist in the practical application of future terahertz communication technology.In view of this,this thesis proposes a low complexity terahertz baseband communication system algorithm and conducts simulation verification.Firstly,based on the propagation characteristics of terahertz waves,a corresponding approximate terahertz communication channel model is proposed,and the key technologies of the terahertz baseband algorithm are introduced.Subsequently,the Multi Symbol Encapsulated Orthogonal Frequency Division Multiplexing(MSE-OFDM)technology was introduced,which has certain advantages in bandwidth efficiency and robustness compared to traditional OFDM.However,most channel estimation algorithms for existing MSE-OFDM systems are complex,which hinders its application.Therefore,this thesis proposes a transceiver structure suitable for low complexity channel estimation and equalization methods for MSE-OFDM systems,and proves that the computational complexity under this structure is reduced by half compared to traditional methods.The simulation results show that the algorithm has good equalization and error rate performance.This thesis introduces polar code based on channel polarization theory,which is important channel encoding and decoding techniques in baseband communication algorithms.Common polar decoding algorithms include Successive Cancellation decoding(SC)algorithm and Successive Cancellation List decoding(SCL)algorithm.SC decoding has limited performance due to limited code length,SCL decoding performance improves but complexity also increases.This thesis analyzes and improves the SCL decoding algorithm,and proposes a Block Check with Slow-Speed Path Copy Successive Cancellation List(BC-SSPC-SCL)algorithm.This algorithm makes a trade-off between performance and complexity,sacrificing a small portion of performance,but significantly reducing decoding complexity.Simulation results show that the performance and complexity of the algorithm have achieved the desired results.The simulation comparison of the combined scheme of MSE-OFDM system design and polar code with traditional baseband communication schemes confirms that the proposed baseband system has better bit error rate performance than traditional schemes.Finally,the hardware implementation of the polar encoding and decoding algorithm is presented,which is verified based on the Vivado platform to prove the feasibility of the algorithm.At the same time,the indoor communication link is built and tested,and the results show that the algorithm can meet the basic communication requirements.This thesis improves the key algorithms of terahertz baseband communication systems,reduces the complexity of the algorithm,and makes a positive contribution to terahertz communication systems under resource constraints.
Keywords/Search Tags:Terahertz Communication, Baseband System, Polar Code, Orthogonal Frequency Division Multiplexing, Channel Estimation and Equalization
PDF Full Text Request
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