Robust super-exponential methods for blind equalization in the presence of Gaussian noise

Kawamoto M.; Ohata M.; Kohno K.; Inouye Y.; Nandi A.K.

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Robust super-exponential methods for blind equalization in the presence of Gaussian noise

机译：高斯噪声存在下盲均衡的鲁棒超指数方法

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摘要

This paper deals with the blind equalization problem of a single-input single-output infinite-impulse-response (SISO-IIR) system with additive Gaussian noise. To solve the problem, we propose a "super-exponential method" (SEM). The novel point of the proposed SEM is that, even when Gaussian noise is added to the output of the system, the blind equalization can be achieved with as little influence of Gaussian noise as possible; hence the proposed SEM is referred to as a "robust super-exponential method" (RSEM). Simulation results show the validity of the proposed RSEM.

机译：本文研究具有加性高斯噪声的单输入单输出无限脉冲响应（SISO-IIR）系统的盲均衡问题。为了解决该问题，我们提出了“超指数方法”（SEM）。提出的SEM的新颖之处在于，即使将高斯噪声添加到系统的输出中，也可以在不受高斯噪声影响的情况下实现盲目均衡。因此，建议的SEM被称为“鲁棒超指数方法”（RSEM）。仿真结果表明了所提出RSEM的有效性。

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《IEEE transactions on circuits and systems. II, Express briefs》 |2005年第10期|p.651-655|共5页
作者
Kawamoto M.; Ohata M.; Kohno K.; Inouye Y.; Nandi A.K.;
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正文语种 eng
中图分类通信;
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Gaussian noise; blind equalisers; higher order statistics; Gaussian noise; SISO-IIR system; blind equalization; single-input single-output infinite impulse response; superexponential methods; Blind equalization; Gaussian noise; single-input single-output infinite-;

机译：高斯噪声;盲均衡器;高阶统计量;高斯噪声;SISO-IIR系统;盲均衡;单输入单输出无限冲激响应;超指数方法;盲均衡;高斯噪声;单输入单输出无限冲;

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专利

1. Robust Super-Exponential Methods for Blind Equalization in the Presence of Gaussian Noise [J] . Mitsuru Kawamoto, Masashi Ohata, Kiyotaka Kohno, IEEE Transactions on Circuits and Systems. II, Express Briefs . 2005,第10期

机译：存在高斯噪声的鲁棒超指数盲均衡方法
2. Design Methodology of an Equalizer for Unipolar Non Return to Zero Binary Signals in the Presence of Additive White Gaussian Noise Using a Time Delay Neural Network on a Field Programmable Gate Array [J] . Carlos M. Travieso Gonz#x000E1, lez, Jes#x000FA, Sensors . 2013,第12期

机译：在现场可编程门阵列上使用时延神经网络的加性高斯白噪声下单极性不归零二进制信号均衡器的设计方法
3. Binary constant modulus blind equalization for multi-level QAM signals under Gaussian and non-Gaussian noise [J] . Xiang Li, Bingbing Li, Jin Li, AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication . 2018,第期

机译：高斯和非高斯噪声下的多级QAM信号的二进制恒定模量盲均衡
4. Robust super-exponential methods for blind equalization of an SISO-IIR system with additive Gaussian noise [C] . Kawamotoa, M., Kohnob, . 2005

机译：具有加性高斯噪声的SISO-IIR系统的盲均衡的鲁棒超指数方法
5. New methods of blind equalization in communication systems. [D] . Li, Xiaohua. 2000

机译：通信系统中盲均衡的新方法。
6. Design Methodology of an Equalizer for Unipolar Non Return to Zero Binary Signals in the Presence of Additive White Gaussian Noise Using a Time Delay Neural Network on a Field Programmable Gate Array [O] . Santiago T. Pérez Suárez, Carlos M. Travieso González, Jesús B. Alonso Hernández 2013

机译：在现场可编程门阵列上使用时延神经网络的加性高斯白噪声下单极性不归零二进制信号均衡器的设计方法
7. ROBUST SUPER-EXPONENTIAL METHODS FOR BLIND EQUALIZATION OF AN SISO-IIR SYSTEM WITH ADDITIVE GAUSSIAN NOISE [O] . Mitsuru Kawamotoa, Kiyotaka Kohnob, Yujiro Inouyeb, 2015

机译：具有加性高斯噪声的sIsO-IIR系统盲均衡的鲁棒超指数方法

Robust super-exponential methods for blind equalization in the presence of Gaussian noise

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