Improved Block Soft Feedback Equalization Based on Sequence Detection

Xiaotao Deng, Jun Gao, Gaoqi Dou
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引用次数: 1

Abstract

A low complexity block soft feedback equalization based on sequence detection is presented for turbo equalization. The proposed algorithm can be used in the channel equalizer for calculation of the a posteriori probability (APP) by collecting information of the entire block as in MAP algorithm. The sequence-based detection is made possible by combining both soft a priori information from channel decoder and soft feedback from block decision feedback equalization (BDFE). Compare with the hard feedback, the soft feedback reduces the effects of the error propagation and leads to better performance. Simulation results show that the new equalizer outperforms the BDFE with hard feedback with a complexity similar to linear minimum mean square error (MMSE) equalizers.
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基于序列检测的改进块软反馈均衡
提出了一种基于序列检测的低复杂度块软反馈均衡方法。该算法与MAP算法一样,可用于信道均衡器,通过收集整个块的信息来计算后验概率(APP)。基于序列的检测是通过结合信道解码器的软先验信息和块决策反馈均衡(BDFE)的软反馈实现的。与硬反馈相比,软反馈减少了误差传播的影响,具有更好的性能。仿真结果表明,该均衡器的性能优于硬反馈的BDFE均衡器,其复杂度与线性最小均方误差均衡器相似。
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