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首页> 外文期刊>International Journal of Innovative Computing Information and Control >AMPLITUDE-LOCKED LOOP SEPARATION SYSTEM USING MAXIMUM LIKELIHOOD ESTIMATION ANALYSIS
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AMPLITUDE-LOCKED LOOP SEPARATION SYSTEM USING MAXIMUM LIKELIHOOD ESTIMATION ANALYSIS

机译：基于最大似然估计分析的两步锁定环分离系统

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摘要

The transmission system of wireless communication has a problem with channel noise. The noise appears through many hidden sources with different noise types. In a communication system, the carrier transmission signals are distorted or disturbed by the external or internal system. The carrier signal is mixed with the interference signal in a co-channel interference (CCI) transmission system. In this paper, we adopted the amplitude-locked loop (ALL) methodology to separate and demodulate the modulating signals of a channel by operating at the same frequency for the demodulation process and algorithm. The maximum likelihood estimation (MLE) and detection schemes are computed for searching of the observation variance by the decision rule to find the optimutn demodulated signals. Co-channel interference has a major impact on the communication quality factor of a transmission system. In this paper, we adopted and developed the amplitude-locked loop system for operating at the additive white Gaussian noise (AWGN) of the wireless communications environment. The maximum likelihood estimation algorithm is used for finding the maximum probability density distribution function of the statistical parameters of the communications system. The simulation results of this research demonstrate the effectiveness of the algorithm through the minimized error value and increased reliability for different carrier signal-to-noise ratios (SNRc).
机译：无线通信的传输系统存在信道噪声问题。噪声通过具有不同噪声类型的许多隐藏源出现。在通信系统中，载波传输信号被外部或内部系统失真或干扰。在同信道干扰（CCI）传输系统中，载波信号与干扰信号混合在一起。在本文中，我们采用幅度锁相环（ALL）方法，通过以相同的频率工作来分离和解调通道的调制信号，以进行解调过程和算法。计算最大似然估计（MLE）和检测方案，以通过决策规则查找最优解调信号来搜索观测方差。同信道干扰对传输系统的通信质量因子有重大影响。在本文中，我们采用并开发了振幅锁相环系统，以在无线通信环境的加性高斯白噪声（AWGN）下工作。最大似然估计算法用于找到通信系统的统计参数的最大概率密度分布函数。这项研究的仿真结果通过最小化误差值并提高了不同载波信噪比（SNRc）的可靠性，证明了该算法的有效性。

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  • 作者

    Gwo-Jia JonG; Chen-Shen Huang; Peng-Linag Peng; gwo-jiun horng;

  • 作者单位

    Department of Electronic Engineering National Kaohsiung University of Applied Sciences No. 415, Chien Kung Road, Sanmin District, Kaohsiung 80778, Taiwan;

    Department of Electronic Engineering National Kaohsiung University of Applied Sciences No. 415, Chien Kung Road, Sanmin District, Kaohsiung 80778, Taiwan;

    Department of Electronic Engineering National Kaohsiung University of Applied Sciences No. 415, Chien Kung Road, Sanmin District, Kaohsiung 80778, Taiwan;

    Department of Electronic Engineering National Kaohsiung University of Applied Sciences No. 415, Chien Kung Road, Sanmin District, Kaohsiung 80778, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CCI; ALL; maximum likelihood estimation;

    机译：CCI;所有;最大似然估计;

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