SC-FDE的次优联合均衡与解码方法

O. Ravinder, M. Raju, M. Ramakrishna, G. Ramesh
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引用次数: 0

摘要

单载波频域均衡(SC-FDE)由于接收机的频域实现,适合于在严重时间色散信道上的高数据速率传输。本文提出在SC-FDE中联合使用一种低复杂度Turbo均衡器和Turbo解码器,其中Turbo均衡器由前馈滤波器和频域反馈滤波器组成。该解码器为软输入软输出(SISO) Max-Log-MAP(最大后验概率)解码器。对于均衡器和解码器,分别设计滤波器系数和参数的次优值,使信噪比最大化,从而提高性能增益。滤波器系数是根据匹配滤波器(MF)准则推导出来的。在仿真结果中,我们将显示软决策比硬决策更强大。比较了所有解码器算法的误码率,表明Max-Log-MAP解码器的性能增益优于所有稍微复杂的解码器,但在性能和复杂性之间存在权衡。对于均衡器,随着迭代次数的增加,性能得到了提高,我们将显示代码长度N=1024时迭代次数最多为8的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sub-optimal joint equalization and decoding approach for SC-FDE
Single Carrier Frequency Domain Equalization (SC-FDE) is suitable for high data rate transmission over severely time dispersive channels due to the frequency domain implementation of the receiver. In this paper we are propose to use jointly a low complexity Turbo equalizer and Turbo decoder in SC-FDE, Turbo equalizer consist of feed forward filter and feedback filters are in frequency domain (FD). And the decoder is Soft input Soft output (SISO) Max-Log-MAP (Maximum a posteriori probability) decoder. For the equalizer and decoder, the sub-optimal values of filter co-efficients and parameters are designed respectively to maximize SINR, finally the performance gain is improved. The filter co-efficients are derived on Matched filter (MF) criteria. In the simulation results we will show that the Soft decisions are powerful than the Hard decisions. All the decoder Algorithms are compared in terms of BER and showing that the performance gain of Max-Log-MAP decoder is superior than all decoders with slight complexity but there is a tradeoff between performance and complexity. For equalizer, as the number of iterations are increases the performance is improved, we will show the performance for the iterations of maximum 8 for the code length of N=1024.
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