基于迭代均衡的通信网络干扰消除

G. Oletu, P. Rapajic, K. Anang, R. Wu
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引用次数: 2

摘要

码间干扰(ISI)是多径信道中可靠通信的主要障碍。我们提出了一种低复杂度的软反馈干扰消除器(SFEIC),它将均衡器输出和先验信息相结合,形成更可靠的估计并进行连续干扰消除。通过迭代过程,接收器执行软输出决策,由软输入软输出(SISO)检测器和SISO信道解码器实现。仿真结果表明,与MAP均衡器相比,所提出的SFEIC误码率具有良好的性能,优于传统的MMSE决策反馈均衡器。给出了在具有严重频率失真的码间干扰(ISI)信道上传输速率为1 / 2的正交相移键控(QPSK)调制turbo码的结果。在误码率为10-5的情况下,性能比MMSE DFE均衡器增益约0.8dB。
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Interference Cancellation Using Iterative Equalization for Communication Networks
Inter symbol interference (ISI) constitutes a major impediment to reliable communications in multipath channels. We proposed a low complexity soft feedback Interference canceller (SFEIC) that combines the equalizer outputs and a priori information to form more reliable estimates and perform successive interference cancellation. The receiver performs soft output decisions, achieved by a soft-input soft-output (SISO) detector and a SISO channel decoders, through an iterative process. Simulation results are presented showing that the proposed SFEIC BER perform well compared with MAP equalizer and outperform the conventional MMSE decision feedback equalizer. The results are presented for rate ½ turbo codes with Quadrature-phase shift keying (QPSK) modulation, transmitted over inter symbol interference (ISI) channel having severe frequency distortion. The performance is about 0.8dB gain over MMSE DFE equalizer at bit-error rate of 10-5.
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