EBPSK解调器中利用SVM概率输出的LDPC译码

LDPC Decoding via SVM Probability Output in EBPSK Demodulator

  • 摘要: 为了改善扩展的二元相移键控(EBPSK)系统在低信噪比下的误码率性能,引入了低密度奇偶校验码(LDPC)。EBPSK解调器借助特殊的冲击滤波器提高能量利用率,却增加了获得后验概率信息用于译码的困难。本文引入支持向量机(SVM)方法在滤波器输出信号中选取少量采样点进行概率输出并进行LDPC译码,仿真显示可得到较高的信噪比增益。同时,本文还仿真对比了不同采样频率及不同方式获得的后验概率信息对系统译码性能的影响,表明基于SVM的方法在低采样率和低信噪比条件下便可获得较为精确的后验概率,因此,在EBPSK系统中采用SVM方法获得后验概率信息用于LDPC译码是一种较为有效的方式。

     

    Abstract: To improve the BER performance of the Extended Binary Phase Shift Keying (EBPSK) demodulation under low SNR,the LDPC code is introduced. But the special impacting filter used in EBPSK demodulator brings more difficulty in LDPC decoding after obtaining posterior probability information. The support vector machine(SVM) method in this paper selects only several samples from the filter output used for LDPC decoder. The simulation results show that higher SNR gain can be obtained with this method. The effect of the posterior probability information got by different sampling rates and different ways on decoding performance is analyzed. Which indicate that more accurate posterior probability can be obtained with SVM method under low sampling rate and low SNR. So SVM is an effective method in EBPSK demodulator to get posterior probability information for LDPC decoding.

     

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