基于最大熵准则的相位噪声情况下的信道参数估计

IF 1.8 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Amir Alizadeh, Saeid Pakravan, Ghosheh Abed Hodtani
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引用次数: 0

摘要

相位噪声(PN)是振荡器驱动系统中普遍存在的难题,会导致功率谱密度(PSD)围绕狄拉克三角函数发生频散。本文探讨了估计受加性白高斯噪声(AWGN)和相位噪声影响的通信信道的任务。由于相位噪声的独特特性,传统的估计方法,如最小均方(LMS)和均方误差(MSE)标准被认为是不够的。在本研究中,我们提出了一种利用信息论学习(ITL)原理进行 PN 信道估计的新方法,特别侧重于最大熵准则(MCC)。通过使用 MCC,我们的方法增强了信道估计器在稳态条件下的鲁棒性,从而提高了参数估计的准确性。此外,为了加快算法的收敛速度,我们引入了一种新颖的混合 LMS 方法,该方法融合了 MSE 和 MCC 的元素。这种混合技术充分利用了每种标准的优势,从而能更高效、更准确地估计受 PN 影响的信道。通过综合分析和实验,我们提出的方法证明了它在减轻相位噪声对信道估计的影响方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion

Channel Parameter Estimation in the Presence of Phase Noise Based on Maximum Correntropy Criterion

Phase noise (PN) is a prevalent challenge in oscillator-driven systems, leading to spectral dispersion of the power spectral density (PSD) around a Dirac delta function. This paper addresses the task of estimating a communication channel affected by additive white Gaussian noise (AWGN) and phase noise. Traditional estimation methods such as the least mean square (LMS) and mean square error (MSE) criteria are deemed inadequate due to the unique characteristics of phase noise. In this study, we propose a novel approach for PN channel estimation utilizing information-theoretic learning (ITL) principles, specifically focusing on the maximum correntropy criterion (MCC). By employing MCC, our method enhances the robustness of the channel estimator in steady-state conditions, thereby improving the accuracy of parameter estimation. Additionally, to expedite the convergence rate of our algorithm, we introduce a novel mixed-LMS approach that amalgamates elements of both MSE and MCC. This hybrid technique leverages the strengths of each criterion, resulting in a more efficient and accurate estimation of the PN-affected channel. Through comprehensive analysis and experimentation, our proposed method demonstrates its effectiveness in mitigating the impact of phase noise on channel estimation.

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来源期刊
Circuits, Systems and Signal Processing
Circuits, Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
4.80
自引率
13.00%
发文量
321
审稿时长
4.6 months
期刊介绍: Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area. The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing. The Editorial Board is international, and papers are welcome from throughout the world. The journal is devoted primarily to research papers, but survey, expository, and tutorial papers are also published. Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.
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