Space-time blind equalisation in impulsive noise
Space-time blind equalisation in impulsive noise
复制标题
脉冲噪声中的时空盲均衡
DOI：
10.1049/iet-spr.2009.0005
复制
发表时间：
2009-10
影响因子：
1.7
通讯作者：
中科院分区：
文献类型：
--
作者：
无线系统中非高斯脉冲噪声的存在会降低现有均衡器和信号检测器的性能。研究了重尾脉冲噪声环境下多输入多输出(MIMO)信道的盲源分离与均衡问题。利用均衡器输入信号的分数低阶CM特性以及它们之间的分数低阶互相关性，提出了一种广义多用户恒模代价函数。相关的基于随机梯度下降的自适应盲均衡算法被定义为分数低阶多用户恒模算法(FMU_CMA)，它能够在同时恢复所有输入信号的同时抑制脉冲信道噪声。研究了无噪声环境下FMU_CMA的稳态均方误差(MSE)性能，基于能量守恒关系和泰勒级数展开，推导了其近似表达式。为了支持对共模和非共模信号的分析，进行了仿真研究。
The presence of non-Gaussian impulsive noise in wireless system can degrade the performance of existing equalisers and signal detectors. The problem of blind source separation and equalisation for multiple-input/multiple-output (MIMO) channels under heavy-tailed impulsive noise environment is studied. A generalised multi-user constant modulus (CM) cost function is proposed by employing the fractional lower order CM property of the equaliser input signals as well as the fractional lower order cross-correlations between them. The associated adaptive blind equalisation algorithm based on a stochastic gradient descent method is defined as fractional lower order multi-user constant modulus algorithm (FMU_CMA), which is able to mitigate impulsive channel noise while recovering all input signals simultaneously. The steady-state mean-square error (MSE) performance of the FMU_CMA is studied in a noise-free environment; the approximate expression is derived based on the energy-preserving relation and the Taylor series expansion. Simulation studies are undertaken to support the analysis with CM and non-CM signal.
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DOI：
10.1109/78.815481
发表时间：
2000
期刊：
IEEE Trans. Signal Process.
影响因子：
--
作者：
J. Mai;A. H. Sayed
通讯作者：
J. Mai;A. H. Sayed
DOI：
10.1016/j.sigpro.2008.08.007
发表时间：
2009-02
期刊：
Signal Process.
影响因子：
--
作者：
Xin Wang;G. Feng
通讯作者：
Xin Wang;G. Feng
影响因子：
1.7
作者：
J. H. Husøy;M. Abadi
通讯作者：
J. H. Husøy;M. Abadi
影响因子：
1.1
作者：
Y. Luo;J. Chambers
通讯作者：
Y. Luo;J. Chambers
DOI：
10.1016/j.dsp.2005.11.006
发表时间：
2007-03
期刊：
Digit. Signal Process.
影响因子：
--
作者：
Daifeng Zha;T. Qiu
通讯作者：
Daifeng Zha;T. Qiu