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一种新型的基于相位域处理的基带DSSS信号接收方法
基金项目:supported by the National Basic Research Program (973 Program) of China under Grant No.2007CB310606; National Key Technologies R&D Program under Grant No.2009ZX03004-001
摘    要:In this paper, the phase characteristic disturbance model for baseband direct sequence spread spectrum (DSSS) signal in additive white Gaussian noise (AWGN) environment is established, and the probability density function (PDF) of phase characteristic disturbance is obtained. Then a novel receiver model for baseband DSSS signal based on maximum likelihood (ML) criterion is proposed. The simulation results show that, comparing with correlation scheme, the performance of the proposed method for baseband DSSS signal is 1dB worse in AWGN environment. However, if there is narrow interference in the AWGN environment, the proposed method will show better performance up to 2.5dB, and it has good adaptive resistance to narrowband interference located in different frequency points. This method could be used as an alterative communication scheme for military circumstance when existing strong narrowband interference of various frequencies.

关 键 词:phase  domain  processing  phase  characteristic  disturbance  ML  criterion  anti-narrow-band  interference
收稿时间:2011-07-15;

A Novel Receiving Method for Baseband DSSS Signal based on Phase Domain Processing
Authors:Sha Xuejun  Zhan Zongchao  Tang Xun School of Electronic  Information Engineering  Harbin Institute of Technology  Harbin  Heilongjiang Province  China
Affiliation:Sha Xuejun,Zhan Zongchao,Tang Xun School of Electronic , Information Engineering,Harbin Institute of Technology,Harbin 150001,Heilongjiang Province,China
Abstract:In this paper, the phase characteristic disturbance model for baseband direct sequence spread spectrum (DSSS) signal in additive white Gaussian noise (AWGN) environment is established, and the probability density function (PDF) of phase characteristic disturbance is obtained. Then a novel receiver model for baseband DSSS signal based on maximum likelihood (ML) criterion is proposed. The simulation results show that, comparing with correlation scheme, the performance of the proposed method for baseband DSSS ...
Keywords:phase domain processing  phase characteristic disturbance  ML criterion  anti-narrow-band interference  
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