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Self-Interference Suppression Method And Performance Analysis Of Self-Encoded Spread Spectrum Communication System

Posted on:2023-11-08Degree:MasterType:Thesis
Country:ChinaCandidate:H M MaoFull Text:PDF
GTID:2558306905468044Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the increasing maturity of traditional spread spectrum communication reconnaissance technology,the concealment requirements of wireless communication transmission in various application fields are getting higher and higher.Self-Encoded Spread Spectrum(SESS)technology improves the security of digital information transmission.The principle of SESS technology is to use random and dynamic spread spectrum sequence instead of traditional spread spectrum,and use the fixed pseudo-random sequence as spread spectrum code.Based on the SESS technology,this paper theoretically analyzes and simulates the bit error rate performance and anti-decoded performance of the SESS system.Aiming at the unique self-interference phenomenon of SESS communication system and the problem that the chip offset correlation of the spread spectrum codes of adjacent information symbols leads to the reduction of the anti-decoded performance of information symbols,the corresponding improvement methods are proposed.Firstly,this paper introduces the basic principle of the SESS communication system,constructs the system mathematical model,and analyzes the characteristics of the SESS sequence.The generation mechanism of the unique self-interference phenomenon of the SESS communication system and its influence on the system performance are studied.Combined with the characteristics of SESS communication system,the bit error rate performance of SESS communication system under different parameter configurations is analyzed,and the performance of the Self-Encoded Spread Spectrum burst communication system is analyzed by combining SESS technology with burst system.Secondly,aiming at the self-interference caused by error symbol propagation in the SESS communication system,a Self-Encoded Spread Spectrum based on the Periodic Interpolation of Pseudo Noise sequence(SESS-PIPN)technology is proposed.The communication performance of the SESS-PIPN communication system in modulation channel and coding channel is analyzed from the perspective of channel adaptability.The influence of channel transmission characteristics on the system bit error rate performance is analyzed from the perspective of modulation channel.The bit error rate of the SESS-PIPN communication system in AWGN channel and flat Rayleigh fading channel is theoretically deduced and simulated,and the influence of interference signal on the system bit error rate performance is analyzed.The influence of the error of the sequence to be despread on the bit error rate performance of the system is analyzed from the perspective of coding channel.The communication performance of the SESS-PIPN communication system and SESS communication system in random error channel,burst error channel and combined error channel is simulated and compared,and the effects of different channel error probability,burst error length and system coding depth on the system error performance are analyzed.Finally,the concealment characteristics of the SESS-PIPN signal are analyzed from two aspects: waveform domain and information anti-decoded performance.The cyclic spectrum formula of the SESS-PIPN signal is deduced,and the cyclic spectrum and cepstrum characteristics of the SESS-PIPN signal and SESS signal waveform are simulated and compared.In order to improve the anti deciphering ability of the SESS system at the information level and reduce the correlation of spread spectrum sequences of adjacent information symbols,a Self-Encoded Spread Spectrum based on Pseudo-Random Embedding of Data information(SESS-PRED)technology is proposed to simulate and analyze the communication performance and concealment performance of SESS-PRED communication system.
Keywords/Search Tags:Self-Encoded spread spectrum, self-interference, Periodic Interpolation, bit error performance, anti-decoded performance
PDF Full Text Request
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