多项式相位信号的计算效率迭代细化技术

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955312

S. Sando, D. Huang, T. Pettitt

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引用次数: 0

摘要

本文考虑了多项式相位的递归有效估计，并给出了标准高斯-牛顿方法的替代方法。我们考虑了似然和相位噪声分布的近似，从而推导出递归的近似最大似然和贝叶斯估计。蒙特卡罗模拟表明，这些方法在计算费用和效率阈值方面都优于高斯-牛顿方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Computationally efficient iterative refinement techniques for polynomial phase signals

Recursive and efficient estimation of polynomial-phase is considered here, with alternatives to the standard Gauss-Newton approach presented. We consider approximations of the likelihood and phase noise distribution to derive recursive approximate maximum likelihood and Bayesian estimators. Monte Carlo simulations indicate that these methods compare favourably with the Gauss-Newton scheme both in terms of computational expense and efficiency thresholds.

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.