Frame detection is important in burst communication systems for its contributions in frame synchronization.It locates the information bits in the received data stream at receivers.To realize frame detection in the pre...Frame detection is important in burst communication systems for its contributions in frame synchronization.It locates the information bits in the received data stream at receivers.To realize frame detection in the presence of additive white Gaussian noise(AWGN) and frequency offset,a constant false alarm rate(CFAR) detector is proposed through exploitation of cyclic autocorrelation feature implied in the preamble.The frame detection can be achieved prior to bit timing recovery.The threshold setting is independent of the signal level and noise level by utilizing CFAR method.Mathematical expressions is derived in AWGN channel by considering the probability of false alarm and probability of detection,separately.Given the probability of false alarm,the mathematical relationship between the frame detection performance and E_b/N_0 of received signals is established.Experimental results are also presented in accordance with analysis.展开更多
The pilotless frame synchronization approach and implementations of LDPC code are the crucial issue of LDPC decoder. The Maximum-A-Posteriori probability( MAP) decoder has a perfect frame synchronization error rate( F...The pilotless frame synchronization approach and implementations of LDPC code are the crucial issue of LDPC decoder. The Maximum-A-Posteriori probability( MAP) decoder has a perfect frame synchronization error rate( FSER) performance. In this paper,a theoretical derivation of the FSER performance of pilotless frame synchronization for LDPC code is presented. The FSER performance by theoretical analysis coincides well with that by simulation in additive white Gaussian channel and Rician fading channel. So it is estimated the FSER performance of an LDPC code by theoretical analysis can be used instead of the simulations which are much more time-consuming.展开更多
基金supported by National Science Foundation of China under Grant No.61401205
文摘Frame detection is important in burst communication systems for its contributions in frame synchronization.It locates the information bits in the received data stream at receivers.To realize frame detection in the presence of additive white Gaussian noise(AWGN) and frequency offset,a constant false alarm rate(CFAR) detector is proposed through exploitation of cyclic autocorrelation feature implied in the preamble.The frame detection can be achieved prior to bit timing recovery.The threshold setting is independent of the signal level and noise level by utilizing CFAR method.Mathematical expressions is derived in AWGN channel by considering the probability of false alarm and probability of detection,separately.Given the probability of false alarm,the mathematical relationship between the frame detection performance and E_b/N_0 of received signals is established.Experimental results are also presented in accordance with analysis.
基金Supported by the National Natural Science Foundation of China(No.61271230,61472190)the Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(No.2013D02)the Open Research Fund of National Key Laboratory of Electromagnetic Environment,China Research Institute of Radiowave Propagation(No.201500013)
文摘The pilotless frame synchronization approach and implementations of LDPC code are the crucial issue of LDPC decoder. The Maximum-A-Posteriori probability( MAP) decoder has a perfect frame synchronization error rate( FSER) performance. In this paper,a theoretical derivation of the FSER performance of pilotless frame synchronization for LDPC code is presented. The FSER performance by theoretical analysis coincides well with that by simulation in additive white Gaussian channel and Rician fading channel. So it is estimated the FSER performance of an LDPC code by theoretical analysis can be used instead of the simulations which are much more time-consuming.
