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首页> 外文期刊>IEEE Transactions on Signal Processing >Gain-Control-Free Near-Efficient Phase Acquisition for QAM Constellations
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Gain-Control-Free Near-Efficient Phase Acquisition for QAM Constellations

机译:QAM星座的无增益控制近有效相位采集

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摘要

This paper introduces a novel, not data aided, phase-offset estimator for quadrature amplitude modulated (QAM) signals. Contrarily to near-efficient existing phase acquisition techniques, this estimator does not require a preliminary gain adjustment stage while its accuracy preserves the slope of CramÉr–Rao bound for medium-high signal-to-noise ratio (SNR) ranges, where it typically outperforms existing blind estimators, with significant improvement for dense and cross QAM constellations. Moreover, it needs only a very rough estimate of the SNR. Like other gain-control-free blind phase-offset estimators, it measures the amount of the cyclic shift by which the (four-folded) phase probability density function (pdf) is rotated under an unknown phase-offset. Estimation of the phase-offset-induced cyclic shift is conducted first by measuring the received data phase pdf by a canonical phase histogram procedure, then by estimating the phase-offset-induced cyclic shift through a cyclic cross correlation-based procedure between the measured phase histogram and a reference phase pdf evaluated within the zero phase-offset hypothesis. Actually, the estimation procedure is presented in a generalized version that considers a tomographic projection of the bidimensional (magnitude/phase) pdf of suitable nonlinear transformations of the received data. The tomographic projection performs a magnitude weighing on the pdf, and this, in turn, results in an improved overall estimation accuracy, as shown by theoretical analysis and numerical simulations here performed to assess the estimator performance.
机译:本文介绍了一种用于正交幅度调制(QAM)信号的新型,无数据辅助的相位偏移估计器。与近乎有效的现有相位采集技术相反,该估计器不需要初步的增益调整阶段,而其精度则可保留CramÉr-Rao的斜率,适用于中等高信噪比(SNR)范围,在该范围内其性能通常优于现有的盲估计器,对稠密和交叉QAM星座进行了重大改进。此外,它仅需要非常粗略的SNR估算。像其他无增益控制的盲相位偏移估计器一样,它可以测量在未知相位偏移下旋转(四倍)相位概率密度函数(pdf)的循环移位量。首先,通过规范的相位直方图过程测量接收到的数据相位pdf,然后通过通过基于循环互相关的过程估计被测相位之间的相位偏移,来估计相位偏移引起的循环偏移。零相位偏移假设内评估的直方图和参考相位pdf。实际上,估计程序是以通用形式表示的,该形式考虑了接收数据的适当非线性变换的二维(幅度/相位)pdf的层析成像投影。层析成像投影在pdf上执行量级加权,这反过来又提高了整体估计的准确性,如理论分析和此处用来评估估计器性能的数值模拟所示。

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