基于噪声预测的低复杂度判决反馈均衡

摘要

针对散射通信系统多径效应严重,常用的频域非线性均衡算法复杂度过高的情况,提出了一种基于噪声预测的低复杂度判决反馈均衡方法.根据常用散射通信多径信道模型,在时延功率谱呈指数衰减的情况下,通过曲线拟合的方法预测非线性判决反馈均衡器的部分系数,从而达到降低算法复杂度的目的.仿真结果表明,所提方法不仅具有较低的复杂度,也具备良好的误码性能,在合适的阈值下,与原有算法的性能损失可控制在0.1 dB以内.%Aiming at the bad multipath effect in scatter communication systems and the high complexity of frequency domain nonlinear equalization algorithm,a low complexity decision feedback equalization method based on noise prediction is proposed.According to the multipath channel model in scatter communication systems,some feedback decision coefficients are predicted by curve fitting when delay power spectrum de-cayes as exponent distribution,so as to reduce the computational complexity.Simulation results show that the proposed method has a lower complexity as well as good bit error rate(BER) performance,and the sig-nal-to-noise ratio(SNR) loss can be controlled in 0.1 dB when there is a proper threshold.