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LMMSE based turbo equalization for nonlinear memory channel

机译:基于LMMSE的非线性存储通道Turbo均衡

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Wideband satellite communication channel can be considered as nonlinear memory channel, which can be described by Volterra model. To counter both nonlinear and memory effects, linear minimum mean square error (LMMSE) based turbo equalizer is proposed in this paper. Although LMMSE is a kind of affine transform, the nonlinear memory interference is cancelled by taking the coefficients of nonlinear memory part into consideration. According to turbo method, the a priori probability of decision symbol is not taken into consideration in both linear part and nonlinear part. Meanwhile, full information rather than extrinsic information from the decoder is used to upgrade the performance. Simulation results demonstrate that the proposed LMMSE based equalizer has better performance than the original linear and traditional nonlinear equalizer.
机译:宽带卫星通信信道可视为非线性记忆信道,可用Volterra模型描述。为了抵消非线性和记忆效应,本文提出了基于线性最小均方误差(LMMSE)的turbo均衡器。尽管LMMSE是一种仿射变换,但是通过考虑非线性存储部分的系数可以消除非线性存储干扰。根据turbo方法,线性部分和非线性部分都没有考虑决策符号的先验概率。同时,来自解码器的完整信息而不是外部信息被用来提升性能。仿真结果表明,所提出的基于LMMSE的均衡器比原始的线性均衡器和传统的非线性均衡器具有更好的性能。

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