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A UNIVERSAL RECEIVER STRUCTURE FOR MDPSK SIGNALS
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作者 Han Gang Li Jiandong Chen Chen (National Key Laboratory on ISN, Xidian University, Xi’an 710071) 《Journal of Electronics(China)》 2003年第3期209-214,共6页
In this letter, a universal receiver structure with modulation classification and syn-chronization recovery for MDPSK signal is presented. The universal timing estimation algorithmfor M-ary DPSK signals is proposed to... In this letter, a universal receiver structure with modulation classification and syn-chronization recovery for MDPSK signal is presented. The universal timing estimation algorithmfor M-ary DPSK signals is proposed to estimate the best symbol timing. An identification algo-rithm based on fourth-order cumulants of signal is used to identify the modulation scheme of thesignal. Numerical results of the performance of the proposed receiver are given. 展开更多
关键词 modulation identification SYNCHRONIZATION Blind detection
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Fast identification of digital amplitude modulation level at low signal-to-noise ratio
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作者 WEI Xiao-wei CAO Zhi-gang 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2006年第4期421-424,共4页
In order to rapidly and automatically identify the modulation level of digital amplitude modulated signals at low signal-to-noise ratio(SNR),a method of identifying the modulation levels of M-ary quadrature amplitude ... In order to rapidly and automatically identify the modulation level of digital amplitude modulated signals at low signal-to-noise ratio(SNR),a method of identifying the modulation levels of M-ary quadrature amplitude modulation(M-QAM)and M-ary amplitude shift keying(M-ASK)is proposed.In this method,wavelet transform with the optimal scale is used to identify the modulation levels of M-QAM and M-ASK signals.The performance of this method was investigated through simulations.Simulation results show that when the SNR is not lower than–4 dB,the percentage of correct identification of M-QAM is higher than 93%,and when the SNR is not lower than–10 dB,the percentage of correct identification of M-ASK is higher than 90%,using only 100 observed symbols.It shows that this method can rapidly acquire good performance at a low SNR. 展开更多
关键词 signal processing modulation identification wavelet transform
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