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首页> 外文期刊>Communications, IET >Design and performance analysis of non-data-aided carrier phase estimators for amplitude and phase shift keying signals
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Design and performance analysis of non-data-aided carrier phase estimators for amplitude and phase shift keying signals

机译:幅度和相移键控信号的非数据辅助载波相位估计器的设计和性能分析

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摘要

This study studies the feedforward (FF) non-data-aided (NDA) carrier phase estimation of the amplitude and phase shift keying (APSK) signals. The true Cramer¿Rao bounds (CRBs) for NDA phase estimation of APSK signals are derived and evaluated numerically using Gauss-Hermite quadrature. The jitter variance of the FF Viterbi-Viterbi (V&V) algorithm is analysed assuming the absence of data pattern noise. It is proved that, when the design parameter ;C; = 2, the jitter variance is able to converge asymptotically to the modified CRB (MCRB) at high signal-to-noise ratios (SNRs). For practical application, the parameter ;C; is also optimised for 16/32/64-APSK signals at different SNRs. The analytical results of the jitter variance are verified by Monte-Carlo evaluations. It is shown that, for 32/64-APSK signals, the plain V&V algorithm cannot approach the CRBs due to the data pattern noise. A modified V&V algorithm based on the constellation partition and a linear combination of the sub-estimators is proposed to eliminate the divergence. Simulation results show that the jitter variance of the proposed estimator is very close to the CRB at the SNRs of interest and converges to the MCRB at high SNRs.
机译:这项研究研究幅度和相移键控(APSK)信号的前馈(FF)非数据辅助(NDA)载波相位估计。推导和使用Gauss-Hermite正交数值评估了用于APSK信号的NDA相位估计的真正的CramerðRao界(CRB)。假设没有数据码型噪声,则分析FF Viterbi-Viterbi(V&V)算法的抖动方差。证明,当设计参数; C; = 2时,抖动方差能够在高信噪比(SNR)时渐近收敛于修改后的CRB(MCRB)。对于实际应用,参数; C;还针对不同SNR的16/32 / 64-APSK信号进行了优化。抖动变化的分析结果通过蒙特卡洛评估得到了验证。结果表明,对于32 / 64-APSK信号,由于数据模式噪声,普通V&V算法无法接近CRB。提出了一种基于星座图划分和子估计量线性组合的改进的V&V算法,以消除差异。仿真结果表明,所提出的估计器的抖动方差在目标信噪比时非常接近CRB,而在高信噪比时收敛到MCRB。

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  • 来源
    《Communications, IET》 |2011年第2期|p.231-239|共9页
  • 作者单位

    Department of Electronic Engineering, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Haidian District, Beijing 100081, People's Republic of China;

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